[1709240349] Log start
[1709240349] Cmd: /main -m phigment6-slerp_Q3_K_M.gguf -p "What is a Large Language Model?" -n 512 --temp 1
[1709240349] main: build = 0 (unknown)
[1709240349] main: built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
[1709240349] main: seed  = 1709240349
[1709240349] main: llama backend init
[1709240349] main: load the model and apply lora adapter, if any
[1709240350] llama_model_loader: loaded meta data with 21 key-value pairs and 453 tensors from phigment6-slerp_Q3_K_M.gguf (version GGUF V3 (latest))
[1709240350] llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
[1709240350] llama_model_loader: - kv   0:                       general.architecture str              = phi2
[1709240350] llama_model_loader: - kv   1:                               general.name str              = Phi2
[1709240350] llama_model_loader: - kv   2:                        phi2.context_length u32              = 2048
[1709240350] llama_model_loader: - kv   3:                      phi2.embedding_length u32              = 2560
[1709240350] llama_model_loader: - kv   4:                   phi2.feed_forward_length u32              = 10240
[1709240350] llama_model_loader: - kv   5:                           phi2.block_count u32              = 32
[1709240350] llama_model_loader: - kv   6:                  phi2.attention.head_count u32              = 32
[1709240350] llama_model_loader: - kv   7:               phi2.attention.head_count_kv u32              = 32
[1709240350] llama_model_loader: - kv   8:          phi2.attention.layer_norm_epsilon f32              = 0.000010
[1709240350] llama_model_loader: - kv   9:                  phi2.rope.dimension_count u32              = 32
[1709240350] llama_model_loader: - kv  10:                          general.file_type u32              = 12
[1709240350] llama_model_loader: - kv  11:               tokenizer.ggml.add_bos_token bool             = false
[1709240350] llama_model_loader: - kv  12:                       tokenizer.ggml.model str              = gpt2
[1709240350] llama_model_loader: - kv  13:                      tokenizer.ggml.tokens arr[str,51200]   = ["!", "\"", "#", "$", "%", "&", "'", ...
[1709240350] llama_model_loader: - kv  14:                  tokenizer.ggml.token_type arr[i32,51200]   = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
[1709240350] llama_model_loader: - kv  15:                      tokenizer.ggml.merges arr[str,50000]   = ["Ġ t", "Ġ a", "h e", "i n", "r e",...
[1709240350] llama_model_loader: - kv  16:                tokenizer.ggml.bos_token_id u32              = 50256
[1709240350] llama_model_loader: - kv  17:                tokenizer.ggml.eos_token_id u32              = 50295
[1709240350] llama_model_loader: - kv  18:            tokenizer.ggml.unknown_token_id u32              = 50256
[1709240350] llama_model_loader: - kv  19:            tokenizer.ggml.padding_token_id u32              = 50256
[1709240350] llama_model_loader: - kv  20:               general.quantization_version u32              = 2
[1709240350] llama_model_loader: - type  f32:  259 tensors
[1709240350] llama_model_loader: - type q3_K:   97 tensors
[1709240350] llama_model_loader: - type q4_K:   90 tensors
[1709240350] llama_model_loader: - type q5_K:    6 tensors
[1709240350] llama_model_loader: - type q6_K:    1 tensors
[1709240350] llm_load_vocab: mismatch in special tokens definition ( 910/51200 vs 944/51200 ).
[1709240350] llm_load_print_meta: format           = GGUF V3 (latest)
[1709240350] llm_load_print_meta: arch             = phi2
[1709240350] llm_load_print_meta: vocab type       = BPE
[1709240350] llm_load_print_meta: n_vocab          = 51200
[1709240350] llm_load_print_meta: n_merges         = 50000
[1709240350] llm_load_print_meta: n_ctx_train      = 2048
[1709240350] llm_load_print_meta: n_embd           = 2560
[1709240350] llm_load_print_meta: n_head           = 32
[1709240350] llm_load_print_meta: n_head_kv        = 32
[1709240350] llm_load_print_meta: n_layer          = 32
[1709240350] llm_load_print_meta: n_rot            = 32
[1709240350] llm_load_print_meta: n_embd_head_k    = 80
[1709240350] llm_load_print_meta: n_embd_head_v    = 80
[1709240350] llm_load_print_meta: n_gqa            = 1
[1709240350] llm_load_print_meta: n_embd_k_gqa     = 2560
[1709240350] llm_load_print_meta: n_embd_v_gqa     = 2560
[1709240350] llm_load_print_meta: f_norm_eps       = 1.0e-05
[1709240350] llm_load_print_meta: f_norm_rms_eps   = 0.0e+00
[1709240350] llm_load_print_meta: f_clamp_kqv      = 0.0e+00
[1709240350] llm_load_print_meta: f_max_alibi_bias = 0.0e+00
[1709240350] llm_load_print_meta: n_ff             = 10240
[1709240350] llm_load_print_meta: n_expert         = 0
[1709240350] llm_load_print_meta: n_expert_used    = 0
[1709240350] llm_load_print_meta: pooling type     = 0
[1709240350] llm_load_print_meta: rope type        = 2
[1709240350] llm_load_print_meta: rope scaling     = linear
[1709240350] llm_load_print_meta: freq_base_train  = 10000.0
[1709240350] llm_load_print_meta: freq_scale_train = 1
[1709240350] llm_load_print_meta: n_yarn_orig_ctx  = 2048
[1709240350] llm_load_print_meta: rope_finetuned   = unknown
[1709240350] llm_load_print_meta: model type       = 3B
[1709240350] llm_load_print_meta: model ftype      = Q3_K - Medium
[1709240350] llm_load_print_meta: model params     = 2.78 B
[1709240350] llm_load_print_meta: model size       = 1.33 GiB (4.12 BPW) 
[1709240350] llm_load_print_meta: general.name     = Phi2
[1709240350] llm_load_print_meta: BOS token        = 50256 '<|endoftext|>'
[1709240350] llm_load_print_meta: EOS token        = 50295 '<|im_end|>'
[1709240350] llm_load_print_meta: UNK token        = 50256 '<|endoftext|>'
[1709240350] llm_load_print_meta: PAD token        = 50256 '<|endoftext|>'
[1709240350] llm_load_print_meta: LF token         = 128 'Ä'
[1709240350] llm_load_tensors: ggml ctx size =    0.17 MiB
[1709240354] llm_load_tensors:        CPU buffer size =  1364.59 MiB
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[1709240354] llama_new_context_with_model: n_ctx      = 512
[1709240354] llama_new_context_with_model: freq_base  = 10000.0
[1709240354] llama_new_context_with_model: freq_scale = 1
[1709240354] llama_kv_cache_init:        CPU KV buffer size =   160.00 MiB
[1709240354] llama_new_context_with_model: KV self size  =  160.00 MiB, K (f16):   80.00 MiB, V (f16):   80.00 MiB
[1709240354] llama_new_context_with_model:        CPU input buffer size   =     7.01 MiB
[1709240354] llama_new_context_with_model:        CPU compute buffer size =   105.00 MiB
[1709240354] llama_new_context_with_model: graph splits (measure): 1
[1709240354] warming up the model with an empty run
[1709240354] n_ctx: 512
[1709240354] 
[1709240354] system_info: n_threads = 16 / 32 | AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | 
[1709240354] add_bos: 0
[1709240354] tokenize the prompt
[1709240354] prompt: "What is a Large Language Model?"
[1709240354] tokens: [ 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30 ]
[1709240354] recalculate the cached logits (check): embd_inp.empty() false, n_matching_session_tokens 0, embd_inp.size() 7, session_tokens.size() 0, embd_inp.size() 7
[1709240354] inp_pfx: [ '':628, '###':21017, ' Instruction':46486, ':':25, '':628 ]
[1709240354] inp_sfx: [ '':628, '###':21017, ' Response':18261, ':':25, '':628 ]
[1709240354] cml_pfx: [ '':198, '<|im_start|>':50296, 'user':7220, '':198 ]
[1709240354] cml_sfx: [ '':50295, '':198, '<|im_start|>':50296, 'ass':562, 'istant':10167, '':198 ]
[1709240354] sampling: 
	repeat_last_n = 64, repeat_penalty = 1.100, frequency_penalty = 0.000, presence_penalty = 0.000
	top_k = 40, tfs_z = 1.000, top_p = 0.950, min_p = 0.050, typical_p = 1.000, temp = 1.000
	mirostat = 0, mirostat_lr = 0.100, mirostat_ent = 5.000
[1709240354] sampling order: 
CFG -> Penalties -> top_k -> tfs_z -> typical_p -> top_p -> min_p -> temperature 
[1709240354] generate: n_ctx = 512, n_batch = 512, n_predict = 512, n_keep = 0
[1709240354] 

[1709240354] embd_inp.size(): 7, n_consumed: 0
[1709240354] eval: [ 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30 ]
[1709240354] n_past = 7
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198 ]
[1709240354] n_remain: 511
[1709240354] eval: [ '':198 ]
[1709240354] n_past = 8
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198, '-':12 ]
[1709240354] n_remain: 510
[1709240354] eval: [ '-':12 ]
[1709240354] n_past = 9
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198, '-':12, ' A':317 ]
[1709240354] n_remain: 509
[1709240354] eval: [ ' A':317 ]
[1709240354] n_past = 10
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198, '-':12, ' A':317, ' large':1588 ]
[1709240354] n_remain: 508
[1709240354] eval: [ ' large':1588 ]
[1709240354] n_past = 11
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198, '-':12, ' A':317, ' large':1588, ' language':3303 ]
[1709240354] n_remain: 507
[1709240354] eval: [ ' language':3303 ]
[1709240354] n_past = 12
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198, '-':12, ' A':317, ' large':1588, ' language':3303, ' model':2746 ]
[1709240354] n_remain: 506
[1709240354] eval: [ ' model':2746 ]
[1709240354] n_past = 13
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198, '-':12, ' A':317, ' large':1588, ' language':3303, ' model':2746, ' is':318 ]
[1709240354] n_remain: 505
[1709240354] eval: [ ' is':318 ]
[1709240354] n_past = 14
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198, '-':12, ' A':317, ' large':1588, ' language':3303, ' model':2746, ' is':318, ' a':257 ]
[1709240354] n_remain: 504
[1709240354] eval: [ ' a':257 ]
[1709240354] n_past = 15
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198, '-':12, ' A':317, ' large':1588, ' language':3303, ' model':2746, ' is':318, ' a':257, ' deep':2769 ]
[1709240354] n_remain: 503
[1709240354] eval: [ ' deep':2769 ]
[1709240354] n_past = 16
[1709240354] last: [ '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, '!':0, 'What':2061, ' is':318, ' a':257, ' Large':13601, ' Language':15417, ' Model':9104, '?':30, '':198, '-':12, ' A':317, ' large':1588, ' language':3303, ' model':2746, ' is':318, ' a':257, ' deep':2769, ' neural':17019 ]
[1709240354] n_remain: 502
[1709240354] eval: [ ' neural':17019 ]
[1709240354] n_past = 17
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[1709240354] n_remain: 501
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[1709240357] n_remain: 420
[1709240357] eval: [ ')':8 ]
[1709240357] n_past = 99
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[1709240357] n_remain: 419
[1709240357] eval: [ ' are':389 ]
[1709240357] n_past = 100
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[1709240357] n_remain: 418
[1709240357] eval: [ ' neural':17019 ]
[1709240357] n_past = 101
[1709240357] last: [ ' models':4981, ' are':389, ' designed':3562, ' to':284, ' accurately':14351, ' predict':4331, ' the':262, ' likelihood':14955, ' of':286, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' have':423, ' achieved':8793, ' state':1181, '-':12, 'of':1659, '-':12, 'the':1169, '-':12, 'art':433, ' performance':2854, ' in':287, ' natural':3288, ' language':3303, ' understanding':4547, ' tasks':8861, ' such':884, ' as':355, ' language':3303, ' generation':5270, ',':11, ' translation':11059, ',':11, ' and':290, ' text':2420, ' summar':15676, 'ization':1634, '.':13, '':198, '##':2235, ' IN':3268, 'PUT':30076, '':198, '':198, '##':2235, 'OU':2606, 'TP':7250, 'UT':3843, '':198, 'Large':21968, ' language':3303, ' models':4981, ' (':357, 'LL':3069, 'M':44, ')':8, ' are':389, ' neural':17019, ' networks':7686 ]
[1709240357] n_remain: 417
[1709240357] eval: [ ' networks':7686 ]
[1709240357] n_past = 102
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[1709240357] n_remain: 416
[1709240357] eval: [ ' that':326 ]
[1709240357] n_past = 103
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[1709240357] n_remain: 415
[1709240357] eval: [ ' have':423 ]
[1709240357] n_past = 104
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[1709240357] n_remain: 414
[1709240357] eval: [ ' been':587 ]
[1709240357] n_past = 105
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[1709240357] n_remain: 413
[1709240357] eval: [ ' trained':8776 ]
[1709240357] n_past = 106
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[1709240357] n_remain: 412
[1709240357] eval: [ ' on':319 ]
[1709240357] n_past = 107
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[1709240357] n_remain: 411
[1709240357] eval: [ ' vast':5909 ]
[1709240358] n_past = 108
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[1709240358] n_remain: 410
[1709240358] eval: [ ' amounts':6867 ]
[1709240358] n_past = 109
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[1709240358] n_remain: 409
[1709240358] eval: [ ' of':286 ]
[1709240358] n_past = 110
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[1709240358] n_remain: 408
[1709240358] eval: [ ' textual':40577 ]
[1709240358] n_past = 111
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[1709240358] n_remain: 407
[1709240358] eval: [ ' data':1366 ]
[1709240358] n_past = 112
[1709240358] last: [ ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' have':423, ' achieved':8793, ' state':1181, '-':12, 'of':1659, '-':12, 'the':1169, '-':12, 'art':433, ' performance':2854, ' in':287, ' natural':3288, ' language':3303, ' understanding':4547, ' tasks':8861, ' such':884, ' as':355, ' language':3303, ' generation':5270, ',':11, ' translation':11059, ',':11, ' and':290, ' text':2420, ' summar':15676, 'ization':1634, '.':13, '':198, '##':2235, ' IN':3268, 'PUT':30076, '':198, '':198, '##':2235, 'OU':2606, 'TP':7250, 'UT':3843, '':198, 'Large':21968, ' language':3303, ' models':4981, ' (':357, 'LL':3069, 'M':44, ')':8, ' are':389, ' neural':17019, ' networks':7686, ' that':326, ' have':423, ' been':587, ' trained':8776, ' on':319, ' vast':5909, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, ' to':284 ]
[1709240358] n_remain: 406
[1709240358] eval: [ ' to':284 ]
[1709240358] n_past = 113
[1709240358] last: [ ' in':287, ' a':257, ' sequence':8379, ' and':290, ' have':423, ' achieved':8793, ' state':1181, '-':12, 'of':1659, '-':12, 'the':1169, '-':12, 'art':433, ' performance':2854, ' in':287, ' natural':3288, ' language':3303, ' understanding':4547, ' tasks':8861, ' such':884, ' as':355, ' language':3303, ' generation':5270, ',':11, ' translation':11059, ',':11, ' and':290, ' text':2420, ' summar':15676, 'ization':1634, '.':13, '':198, '##':2235, ' IN':3268, 'PUT':30076, '':198, '':198, '##':2235, 'OU':2606, 'TP':7250, 'UT':3843, '':198, 'Large':21968, ' language':3303, ' models':4981, ' (':357, 'LL':3069, 'M':44, ')':8, ' are':389, ' neural':17019, ' networks':7686, ' that':326, ' have':423, ' been':587, ' trained':8776, ' on':319, ' vast':5909, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, ' to':284, ' generate':7716 ]
[1709240358] n_remain: 405
[1709240358] eval: [ ' generate':7716 ]
[1709240358] n_past = 114
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[1709240358] n_remain: 404
[1709240358] eval: [ ' coherent':24870 ]
[1709240358] n_past = 115
[1709240358] last: [ ' sequence':8379, ' and':290, ' have':423, ' achieved':8793, ' state':1181, '-':12, 'of':1659, '-':12, 'the':1169, '-':12, 'art':433, ' performance':2854, ' in':287, ' natural':3288, ' language':3303, ' understanding':4547, ' tasks':8861, ' such':884, ' as':355, ' language':3303, ' generation':5270, ',':11, ' translation':11059, ',':11, ' and':290, ' text':2420, ' summar':15676, 'ization':1634, '.':13, '':198, '##':2235, ' IN':3268, 'PUT':30076, '':198, '':198, '##':2235, 'OU':2606, 'TP':7250, 'UT':3843, '':198, 'Large':21968, ' language':3303, ' models':4981, ' (':357, 'LL':3069, 'M':44, ')':8, ' are':389, ' neural':17019, ' networks':7686, ' that':326, ' have':423, ' been':587, ' trained':8776, ' on':319, ' vast':5909, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, ' to':284, ' generate':7716, ' coherent':24870, ' and':290 ]
[1709240358] n_remain: 403
[1709240358] eval: [ ' and':290 ]
[1709240358] n_past = 116
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[1709240358] n_remain: 402
[1709240358] eval: [ ' context':4732 ]
[1709240358] n_past = 117
[1709240358] last: [ ' have':423, ' achieved':8793, ' state':1181, '-':12, 'of':1659, '-':12, 'the':1169, '-':12, 'art':433, ' performance':2854, ' in':287, ' natural':3288, ' language':3303, ' understanding':4547, ' tasks':8861, ' such':884, ' as':355, ' language':3303, ' generation':5270, ',':11, ' translation':11059, ',':11, ' and':290, ' text':2420, ' summar':15676, 'ization':1634, '.':13, '':198, '##':2235, ' IN':3268, 'PUT':30076, '':198, '':198, '##':2235, 'OU':2606, 'TP':7250, 'UT':3843, '':198, 'Large':21968, ' language':3303, ' models':4981, ' (':357, 'LL':3069, 'M':44, ')':8, ' are':389, ' neural':17019, ' networks':7686, ' that':326, ' have':423, ' been':587, ' trained':8776, ' on':319, ' vast':5909, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, ' to':284, ' generate':7716, ' coherent':24870, ' and':290, ' context':4732, 'ually':935 ]
[1709240358] n_remain: 401
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[1709240360] n_remain: 355
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[1709240360] n_remain: 354
[1709240360] eval: [ ' original':2656 ]
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[1709240360] n_remain: 352
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[1709240360] n_remain: 351
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[1709240360] n_remain: 349
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[1709240360] n_remain: 348
[1709240360] eval: [ ' even':772 ]
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[1709240360] n_remain: 347
[1709240360] eval: [ ' entire':2104 ]
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[1709240360] n_remain: 346
[1709240360] eval: [ ' stories':3923 ]
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[1709240360] n_remain: 345
[1709240360] eval: [ ' by':416 ]
[1709240360] n_past = 174
[1709240360] last: [ ' data':1366, ' to':284, ' generate':7716, ' coherent':24870, ' and':290, ' context':4732, 'ually':935, ' appropriate':5035, ' responses':9109, '.':13, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' for':329, ' a':257, ' variety':4996, ' of':286, ' natural':3288, ' language':3303, ' processing':7587, ' tasks':8861, ',':11, ' including':1390, ':':25, '':198, '':198, '1':16, '.':13, ' Language':15417, ' Generation':16588, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' human':1692, '-':12, 'like':2339, ' text':2420, ' based':1912, ' on':319, ' a':257, ' given':1813, ' prompt':6152, ' or':393, ' input':5128, ' text':2420, '.':13, ' They':1119, ' can':460, ' create':2251, ' original':2656, ' sentences':13439, ',':11, ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539 ]
[1709240360] n_remain: 344
[1709240360] eval: [ ' predicting':25539 ]
[1709240360] n_past = 175
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[1709240360] n_remain: 343
[1709240360] eval: [ ' the':262 ]
[1709240360] n_past = 176
[1709240360] last: [ ' generate':7716, ' coherent':24870, ' and':290, ' context':4732, 'ually':935, ' appropriate':5035, ' responses':9109, '.':13, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' for':329, ' a':257, ' variety':4996, ' of':286, ' natural':3288, ' language':3303, ' processing':7587, ' tasks':8861, ',':11, ' including':1390, ':':25, '':198, '':198, '1':16, '.':13, ' Language':15417, ' Generation':16588, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' human':1692, '-':12, 'like':2339, ' text':2420, ' based':1912, ' on':319, ' a':257, ' given':1813, ' prompt':6152, ' or':393, ' input':5128, ' text':2420, '.':13, ' They':1119, ' can':460, ' create':2251, ' original':2656, ' sentences':13439, ',':11, ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306 ]
[1709240360] n_remain: 342
[1709240360] eval: [ ' next':1306 ]
[1709240360] n_past = 177
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[1709240360] n_remain: 341
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[1709240361] eval: [ ' and':290 ]
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[1709240361] n_remain: 301
[1709240361] eval: [ ' Open':4946 ]
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[1709240361] n_remain: 300
[1709240361] eval: [ 'AI':20185 ]
[1709240361] n_past = 219
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[1709240361] n_remain: 299
[1709240361] eval: [ ''s':338 ]
[1709240362] n_past = 220
[1709240362] last: [ ' or':393, ' input':5128, ' text':2420, '.':13, ' They':1119, ' can':460, ' create':2251, ' original':2656, ' sentences':13439, ',':11, ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101 ]
[1709240362] n_remain: 298
[1709240362] eval: [ ' Chat':24101 ]
[1709240362] n_past = 221
[1709240362] last: [ ' input':5128, ' text':2420, '.':13, ' They':1119, ' can':460, ' create':2251, ' original':2656, ' sentences':13439, ',':11, ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38 ]
[1709240362] n_remain: 297
[1709240362] eval: [ 'G':38 ]
[1709240362] n_past = 222
[1709240362] last: [ ' text':2420, '.':13, ' They':1119, ' can':460, ' create':2251, ' original':2656, ' sentences':13439, ',':11, ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571 ]
[1709240362] n_remain: 296
[1709240362] eval: [ 'PT':11571 ]
[1709240362] n_past = 223
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[1709240362] n_remain: 295
[1709240362] eval: [ '.':13 ]
[1709240362] n_past = 224
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[1709240362] n_remain: 294
[1709240362] eval: [ '':198 ]
[1709240362] n_past = 225
[1709240362] last: [ ' can':460, ' create':2251, ' original':2656, ' sentences':13439, ',':11, ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198 ]
[1709240362] n_remain: 293
[1709240362] eval: [ '':198 ]
[1709240362] n_past = 226
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[1709240362] n_remain: 292
[1709240362] eval: [ '2':17 ]
[1709240362] n_past = 227
[1709240362] last: [ ' original':2656, ' sentences':13439, ',':11, ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13 ]
[1709240362] n_remain: 291
[1709240362] eval: [ '.':13 ]
[1709240362] n_past = 228
[1709240362] last: [ ' sentences':13439, ',':11, ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255 ]
[1709240362] n_remain: 290
[1709240362] eval: [ ' Text':8255 ]
[1709240362] n_past = 229
[1709240362] last: [ ',':11, ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060 ]
[1709240362] n_remain: 289
[1709240362] eval: [ ' Sum':5060 ]
[1709240362] n_past = 230
[1709240362] last: [ ' paragraphs':23549, ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876 ]
[1709240362] n_remain: 288
[1709240362] eval: [ 'mar':3876 ]
[1709240362] n_past = 231
[1709240362] last: [ ',':11, ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634 ]
[1709240362] n_remain: 287
[1709240362] eval: [ 'ization':1634 ]
[1709240362] n_past = 232
[1709240362] last: [ ' or':393, ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25 ]
[1709240362] n_remain: 286
[1709240362] eval: [ ':':25 ]
[1709240362] n_past = 233
[1709240362] last: [ ' even':772, ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140 ]
[1709240362] n_remain: 285
[1709240362] eval: [ ' LL':27140 ]
[1709240362] n_past = 234
[1709240362] last: [ ' entire':2104, ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128 ]
[1709240362] n_remain: 284
[1709240362] eval: [ 'Ms':10128 ]
[1709240362] n_past = 235
[1709240362] last: [ ' stories':3923, ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460 ]
[1709240362] n_remain: 283
[1709240362] eval: [ ' can':460 ]
[1709240362] n_past = 236
[1709240362] last: [ ' by':416, ' predicting':25539, ' the':262, ' next':1306, ' word':1573, ' in':287, ' a':257, ' sequence':8379, ' and':290, ' using':1262, ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716 ]
[1709240362] n_remain: 282
[1709240362] eval: [ ' generate':7716 ]
[1709240362] n_past = 237
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[1709240362] n_remain: 281
[1709240362] eval: [ ' concise':35327 ]
[1709240362] n_past = 238
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[1709240362] n_remain: 280
[1709240362] eval: [ ' summ':30114 ]
[1709240362] n_past = 239
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[1709240362] n_remain: 279
[1709240362] eval: [ 'aries':3166 ]
[1709240362] n_past = 240
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[1709240362] n_remain: 278
[1709240362] eval: [ ' of':286 ]
[1709240362] n_past = 241
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[1709240362] n_remain: 277
[1709240362] eval: [ ' large':1588 ]
[1709240362] n_past = 242
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[1709240362] n_remain: 276
[1709240362] eval: [ ' text':2420 ]
[1709240362] n_past = 243
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[1709240362] n_remain: 275
[1709240362] eval: [ ' documents':4963 ]
[1709240362] n_past = 244
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[1709240362] n_remain: 274
[1709240362] eval: [ ',':11 ]
[1709240362] n_past = 245
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[1709240362] n_remain: 273
[1709240362] eval: [ ' making':1642 ]
[1709240363] n_past = 246
[1709240363] last: [ ' their':511, ' knowledge':3725, ' of':286, ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340 ]
[1709240363] n_remain: 272
[1709240363] eval: [ ' it':340 ]
[1709240363] n_past = 247
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[1709240363] n_remain: 271
[1709240363] eval: [ ' easier':4577 ]
[1709240363] n_past = 248
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[1709240363] n_remain: 270
[1709240363] eval: [ ' for':329 ]
[1709240363] n_past = 249
[1709240363] last: [ ' language':3303, ' patterns':7572, ' to':284, ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183 ]
[1709240363] n_remain: 269
[1709240363] eval: [ ' readers':7183 ]
[1709240363] n_past = 250
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[1709240363] n_remain: 268
[1709240363] eval: [ ' to':284 ]
[1709240363] n_past = 251
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[1709240363] n_remain: 267
[1709240363] eval: [ ' quickly':2952 ]
[1709240363] n_past = 252
[1709240363] last: [ ' produce':4439, ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833 ]
[1709240363] n_remain: 266
[1709240363] eval: [ ' understand':1833 ]
[1709240363] n_past = 253
[1709240363] last: [ ' coherent':24870, ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262 ]
[1709240363] n_remain: 265
[1709240363] eval: [ ' the':262 ]
[1709240363] n_past = 254
[1709240363] last: [ ' and':290, ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388 ]
[1709240363] n_remain: 264
[1709240363] eval: [ ' main':1388 ]
[1709240363] n_past = 255
[1709240363] last: [ ' gram':14599, 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173 ]
[1709240363] n_remain: 263
[1709240363] eval: [ ' points':2173 ]
[1709240363] n_past = 256
[1709240363] last: [ 'matically':49454, ' correct':3376, ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286 ]
[1709240363] n_remain: 262
[1709240363] eval: [ ' of':286 ]
[1709240363] n_past = 257
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[1709240363] n_remain: 261
[1709240363] eval: [ ' a':257 ]
[1709240363] n_past = 258
[1709240363] last: [ ' responses':9109, '.':13, ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704 ]
[1709240363] n_remain: 260
[1709240363] eval: [ ' piece':3704 ]
[1709240363] n_past = 259
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[1709240363] n_remain: 259
[1709240363] eval: [ ' of':286 ]
[1709240363] n_past = 260
[1709240363] last: [ ' Examples':21066, ' of':286, ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321 ]
[1709240363] n_remain: 258
[1709240363] eval: [ ' information':1321 ]
[1709240363] n_past = 261
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[1709240363] n_remain: 257
[1709240363] eval: [ '.':13 ]
[1709240363] n_past = 262
[1709240363] last: [ ' language':3303, ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770 ]
[1709240363] n_remain: 256
[1709240363] eval: [ ' This':770 ]
[1709240363] n_past = 263
[1709240363] last: [ ' generation':5270, ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318 ]
[1709240363] n_remain: 255
[1709240363] eval: [ ' is':318 ]
[1709240363] n_past = 264
[1709240363] last: [ ' include':2291, ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793 ]
[1709240363] n_remain: 254
[1709240363] eval: [ ' achieved':8793 ]
[1709240363] n_past = 265
[1709240363] last: [ ' G':402, 'PT':11571, '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416 ]
[1709240363] n_remain: 253
[1709240363] eval: [ ' by':416 ]
[1709240363] n_past = 266
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[1709240363] n_remain: 252
[1709240363] eval: [ ' selecting':17246 ]
[1709240363] n_past = 267
[1709240363] last: [ '-':12, '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262 ]
[1709240363] n_remain: 251
[1709240363] eval: [ ' the':262 ]
[1709240363] n_past = 268
[1709240363] last: [ '2':17, ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749 ]
[1709240363] n_remain: 250
[1709240363] eval: [ ' most':749 ]
[1709240363] n_past = 269
[1709240363] last: [ ' (':357, 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981 ]
[1709240363] n_remain: 249
[1709240363] eval: [ ' relevant':5981 ]
[1709240363] n_past = 270
[1709240363] last: [ 'Gener':8645, 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456 ]
[1709240363] n_remain: 248
[1709240363] eval: [ ' words':2456 ]
[1709240363] n_past = 271
[1709240363] last: [ 'ative':876, ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393 ]
[1709240363] n_remain: 247
[1709240363] eval: [ ' or':393 ]
[1709240364] n_past = 272
[1709240364] last: [ ' Pre':3771, '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439 ]
[1709240364] n_remain: 246
[1709240364] eval: [ ' sentences':13439 ]
[1709240364] n_past = 273
[1709240364] last: [ '-':12, 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422 ]
[1709240364] n_remain: 245
[1709240364] eval: [ ' from':422 ]
[1709240364] n_past = 274
[1709240364] last: [ 'trained':35311, ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262 ]
[1709240364] n_remain: 244
[1709240364] eval: [ ' the':262 ]
[1709240364] n_past = 275
[1709240364] last: [ ' Trans':3602, 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128 ]
[1709240364] n_remain: 243
[1709240364] eval: [ ' input':5128 ]
[1709240364] n_past = 276
[1709240364] last: [ 'former':16354, ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420 ]
[1709240364] n_remain: 242
[1709240364] eval: [ ' text':2420 ]
[1709240364] n_past = 277
[1709240364] last: [ ' 2':362, ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290 ]
[1709240364] n_remain: 241
[1709240364] eval: [ ' and':290 ]
[1709240364] n_past = 278
[1709240364] last: [ ')':8, ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453 ]
[1709240364] n_remain: 240
[1709240364] eval: [ ' generating':15453 ]
[1709240364] n_past = 279
[1709240364] last: [ ' and':290, ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257 ]
[1709240364] n_remain: 239
[1709240364] eval: [ ' a':257 ]
[1709240364] n_past = 280
[1709240364] last: [ ' Open':4946, 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638 ]
[1709240364] n_remain: 238
[1709240364] eval: [ ' summary':10638 ]
[1709240364] n_past = 281
[1709240364] last: [ 'AI':20185, ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326 ]
[1709240364] n_remain: 237
[1709240364] eval: [ ' that':326 ]
[1709240364] n_past = 282
[1709240364] last: [ ''s':338, ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351 ]
[1709240364] n_remain: 236
[1709240364] eval: [ ' accurately':14351 ]
[1709240364] n_past = 283
[1709240364] last: [ ' Chat':24101, 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007 ]
[1709240364] n_remain: 235
[1709240364] eval: [ ' captures':23007 ]
[1709240364] n_past = 284
[1709240364] last: [ 'G':38, 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663 ]
[1709240364] n_remain: 234
[1709240364] eval: [ ' its':663 ]
[1709240364] n_past = 285
[1709240364] last: [ 'PT':11571, '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616 ]
[1709240364] n_remain: 233
[1709240364] eval: [ ' meaning':3616 ]
[1709240364] n_past = 286
[1709240364] last: [ '.':13, '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13 ]
[1709240364] n_remain: 232
[1709240364] eval: [ '.':13 ]
[1709240364] n_past = 287
[1709240364] last: [ '':198, '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198 ]
[1709240364] n_remain: 231
[1709240364] eval: [ '':198 ]
[1709240364] n_past = 288
[1709240364] last: [ '':198, '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198 ]
[1709240364] n_remain: 230
[1709240364] eval: [ '':198 ]
[1709240364] n_past = 289
[1709240364] last: [ '2':17, '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18 ]
[1709240364] n_remain: 229
[1709240364] eval: [ '3':18 ]
[1709240364] n_past = 290
[1709240364] last: [ '.':13, ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13 ]
[1709240364] n_remain: 228
[1709240364] eval: [ '.':13 ]
[1709240364] n_past = 291
[1709240364] last: [ ' Text':8255, ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322 ]
[1709240364] n_remain: 227
[1709240364] eval: [ ' Translation':33322 ]
[1709240364] n_past = 292
[1709240364] last: [ ' Sum':5060, 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25 ]
[1709240364] n_remain: 226
[1709240364] eval: [ ':':25 ]
[1709240364] n_past = 293
[1709240364] last: [ 'mar':3876, 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140 ]
[1709240364] n_remain: 225
[1709240364] eval: [ ' LL':27140 ]
[1709240364] n_past = 294
[1709240364] last: [ 'ization':1634, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128 ]
[1709240364] n_remain: 224
[1709240364] eval: [ 'Ms':10128 ]
[1709240364] n_past = 295
[1709240364] last: [ ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460 ]
[1709240364] n_remain: 223
[1709240364] eval: [ ' can':460 ]
[1709240364] n_past = 296
[1709240364] last: [ ' LL':27140, 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772 ]
[1709240364] n_remain: 222
[1709240364] eval: [ ' translate':15772 ]
[1709240364] n_past = 297
[1709240364] last: [ 'Ms':10128, ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420 ]
[1709240364] n_remain: 221
[1709240364] eval: [ ' text':2420 ]
[1709240364] n_past = 298
[1709240364] last: [ ' can':460, ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422 ]
[1709240364] n_remain: 220
[1709240364] eval: [ ' from':422 ]
[1709240364] n_past = 299
[1709240364] last: [ ' generate':7716, ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530 ]
[1709240364] n_remain: 219
[1709240364] eval: [ ' one':530 ]
[1709240365] n_past = 300
[1709240365] last: [ ' concise':35327, ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303 ]
[1709240365] n_remain: 218
[1709240365] eval: [ ' language':3303 ]
[1709240365] n_past = 301
[1709240365] last: [ ' summ':30114, 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284 ]
[1709240365] n_remain: 217
[1709240365] eval: [ ' to':284 ]
[1709240365] n_past = 302
[1709240365] last: [ 'aries':3166, ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194 ]
[1709240365] n_remain: 216
[1709240365] eval: [ ' another':1194 ]
[1709240365] n_past = 303
[1709240365] last: [ ' of':286, ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351 ]
[1709240365] n_remain: 215
[1709240365] eval: [ ' with':351 ]
[1709240365] n_past = 304
[1709240365] last: [ ' large':1588, ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029 ]
[1709240365] n_remain: 214
[1709240365] eval: [ ' high':1029 ]
[1709240365] n_past = 305
[1709240365] last: [ ' text':2420, ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922 ]
[1709240365] n_remain: 213
[1709240365] eval: [ ' accuracy':9922 ]
[1709240365] n_past = 306
[1709240365] last: [ ' documents':4963, ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13 ]
[1709240365] n_remain: 212
[1709240365] eval: [ '.':13 ]
[1709240365] n_past = 307
[1709240365] last: [ ',':11, ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119 ]
[1709240365] n_remain: 211
[1709240365] eval: [ ' They':1119 ]
[1709240365] n_past = 308
[1709240365] last: [ ' making':1642, ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466 ]
[1709240365] n_remain: 210
[1709240365] eval: [ ' do':466 ]
[1709240365] n_past = 309
[1709240365] last: [ ' it':340, ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428 ]
[1709240365] n_remain: 209
[1709240365] eval: [ ' this':428 ]
[1709240365] n_past = 310
[1709240365] last: [ ' easier':4577, ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416 ]
[1709240365] n_remain: 208
[1709240365] eval: [ ' by':416 ]
[1709240365] n_past = 311
[1709240365] last: [ ' for':329, ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539 ]
[1709240365] n_remain: 207
[1709240365] eval: [ ' predicting':25539 ]
[1709240365] n_past = 312
[1709240365] last: [ ' readers':7183, ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262 ]
[1709240365] n_remain: 206
[1709240365] eval: [ ' the':262 ]
[1709240365] n_past = 313
[1709240365] last: [ ' to':284, ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251 ]
[1709240365] n_remain: 205
[1709240365] eval: [ ' translated':14251 ]
[1709240365] n_past = 314
[1709240365] last: [ ' quickly':2952, ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573 ]
[1709240365] n_remain: 204
[1709240365] eval: [ ' word':1573 ]
[1709240365] n_past = 315
[1709240365] last: [ ' understand':1833, ' the':262, ' main':1388, ' points':2173, ' of':286, ' a':257, ' piece':3704, ' of':286, ' information':1321, '.':13, ' This':770, ' is':318, ' achieved':8793, ' by':416, ' selecting':17246, ' the':262, ' most':749, ' relevant':5981, ' words':2456, ' or':393, ' sentences':13439, ' from':422, ' the':262, ' input':5128, ' text':2420, ' and':290, ' generating':15453, ' a':257, ' summary':10638, ' that':326, ' accurately':14351, ' captures':23007, ' its':663, ' meaning':3616, '.':13, '':198, '':198, '3':18, '.':13, ' Translation':33322, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287 ]
[1709240365] n_remain: 203
[1709240365] eval: [ ' in':287 ]
[1709240365] n_past = 316
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[1709240365] n_remain: 202
[1709240365] eval: [ ' the':262 ]
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[1709240365] n_remain: 201
[1709240365] eval: [ ' target':2496 ]
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[1709240365] n_remain: 200
[1709240365] eval: [ ' language':3303 ]
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[1709240365] n_remain: 199
[1709240365] eval: [ ' based':1912 ]
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[1709240365] eval: [ ' on':319 ]
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[1709240365] n_remain: 197
[1709240365] eval: [ ' their':511 ]
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[1709240365] n_remain: 196
[1709240365] eval: [ ' understanding':4547 ]
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[1709240365] n_remain: 195
[1709240365] eval: [ ' of':286 ]
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[1709240365] n_remain: 194
[1709240365] eval: [ ' the':262 ]
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[1709240365] n_remain: 193
[1709240365] eval: [ ' source':2723 ]
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[1709240365] n_remain: 192
[1709240365] eval: [ ' language':3303 ]
[1709240365] n_past = 327
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[1709240365] n_remain: 191
[1709240365] eval: [ ',':11 ]
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[1709240366] n_remain: 190
[1709240366] eval: [ ' as':355 ]
[1709240366] n_past = 329
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[1709240366] n_remain: 189
[1709240366] eval: [ ' well':880 ]
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[1709240366] n_remain: 188
[1709240366] eval: [ ' as':355 ]
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[1709240366] n_remain: 187
[1709240366] eval: [ ' the':262 ]
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[1709240366] n_remain: 186
[1709240366] eval: [ ' context':4732 ]
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[1709240366] n_remain: 185
[1709240366] eval: [ ' surrounding':7346 ]
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[1709240366] n_remain: 184
[1709240366] eval: [ ' the':262 ]
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[1709240366] n_remain: 183
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[1709240366] eval: [ ' efficient':6942 ]
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[1709240366] eval: [ ' accurate':7187 ]
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[1709240366] eval: [ ' traditional':4569 ]
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[1709240366] eval: [ ' diction':48589 ]
[1709240367] n_past = 356
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[1709240367] n_remain: 162
[1709240367] eval: [ 'aries':3166 ]
[1709240367] n_past = 357
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[1709240367] n_remain: 161
[1709240367] eval: [ ' or':393 ]
[1709240367] n_past = 358
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[1709240367] n_remain: 160
[1709240367] eval: [ ' rule':3896 ]
[1709240367] n_past = 359
[1709240367] last: [ ' translate':15772, ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12 ]
[1709240367] n_remain: 159
[1709240367] eval: [ '-':12 ]
[1709240367] n_past = 360
[1709240367] last: [ ' text':2420, ' from':422, ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106 ]
[1709240367] n_remain: 158
[1709240367] eval: [ 'based':3106 ]
[1709240367] n_past = 361
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[1709240367] n_remain: 157
[1709240367] eval: [ ' models':4981 ]
[1709240367] n_past = 362
[1709240367] last: [ ' one':530, ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13 ]
[1709240367] n_remain: 156
[1709240367] eval: [ '.':13 ]
[1709240367] n_past = 363
[1709240367] last: [ ' language':3303, ' to':284, ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198 ]
[1709240367] n_remain: 155
[1709240367] eval: [ '':198 ]
[1709240367] n_past = 364
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[1709240367] n_remain: 154
[1709240367] eval: [ '':198 ]
[1709240367] n_past = 365
[1709240367] last: [ ' another':1194, ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19 ]
[1709240367] n_remain: 153
[1709240367] eval: [ '4':19 ]
[1709240367] n_past = 366
[1709240367] last: [ ' with':351, ' high':1029, ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13 ]
[1709240367] n_remain: 152
[1709240367] eval: [ '.':13 ]
[1709240367] n_past = 367
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[1709240367] n_remain: 151
[1709240367] eval: [ ' Text':8255 ]
[1709240367] n_past = 368
[1709240367] last: [ ' accuracy':9922, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984 ]
[1709240367] n_remain: 150
[1709240367] eval: [ ' Classification':40984 ]
[1709240367] n_past = 369
[1709240367] last: [ '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25 ]
[1709240367] n_remain: 149
[1709240367] eval: [ ':':25 ]
[1709240367] n_past = 370
[1709240367] last: [ ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140 ]
[1709240367] n_remain: 148
[1709240367] eval: [ ' LL':27140 ]
[1709240367] n_past = 371
[1709240367] last: [ ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128 ]
[1709240367] n_remain: 147
[1709240367] eval: [ 'Ms':10128 ]
[1709240367] n_past = 372
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[1709240367] n_remain: 146
[1709240367] eval: [ ' can':460 ]
[1709240367] n_past = 373
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[1709240367] n_remain: 145
[1709240367] eval: [ ' be':307 ]
[1709240367] n_past = 374
[1709240367] last: [ ' predicting':25539, ' the':262, ' translated':14251, ' word':1573, ' in':287, ' the':262, ' target':2496, ' language':3303, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' the':262, ' source':2723, ' language':3303, ',':11, ' as':355, ' well':880, ' as':355, ' the':262, ' context':4732, ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973 ]
[1709240367] n_remain: 144
[1709240367] eval: [ ' used':973 ]
[1709240367] n_past = 375
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[1709240367] n_remain: 143
[1709240367] eval: [ ' to':284 ]
[1709240367] n_past = 376
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[1709240368] eval: [ ',':11 ]
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[1709240368] n_remain: 129
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[1709240368] eval: [ ',':11 ]
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[1709240368] n_remain: 127
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[1709240368] n_remain: 126
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[1709240368] n_remain: 125
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[1709240368] n_remain: 124
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[1709240368] n_remain: 123
[1709240368] eval: [ ' social':1919 ]
[1709240368] n_past = 396
[1709240368] last: [ ' surrounding':7346, ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056 ]
[1709240368] n_remain: 122
[1709240368] eval: [ ' media':2056 ]
[1709240368] n_past = 397
[1709240368] last: [ ' the':262, ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851 ]
[1709240368] n_remain: 121
[1709240368] eval: [ ' posts':6851 ]
[1709240368] n_past = 398
[1709240368] last: [ ' original':2656, ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13 ]
[1709240368] n_remain: 120
[1709240368] eval: [ '.':13 ]
[1709240368] n_past = 399
[1709240368] last: [ ' word':1573, '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119 ]
[1709240368] n_remain: 119
[1709240368] eval: [ ' They':1119 ]
[1709240368] n_past = 400
[1709240368] last: [ '.':13, ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466 ]
[1709240368] n_remain: 118
[1709240368] eval: [ ' do':466 ]
[1709240368] n_past = 401
[1709240368] last: [ ' This':770, ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428 ]
[1709240368] n_remain: 117
[1709240368] eval: [ ' this':428 ]
[1709240368] n_past = 402
[1709240368] last: [ ' makes':1838, ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416 ]
[1709240368] n_remain: 116
[1709240368] eval: [ ' by':416 ]
[1709240368] n_past = 403
[1709240368] last: [ ' translation':11059, ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539 ]
[1709240368] n_remain: 115
[1709240368] eval: [ ' predicting':25539 ]
[1709240368] n_past = 404
[1709240368] last: [ ' more':517, ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262 ]
[1709240368] n_remain: 114
[1709240368] eval: [ ' the':262 ]
[1709240368] n_past = 405
[1709240368] last: [ ' efficient':6942, ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536 ]
[1709240368] n_remain: 113
[1709240368] eval: [ ' category':6536 ]
[1709240368] n_past = 406
[1709240368] last: [ ' and':290, ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257 ]
[1709240368] n_remain: 112
[1709240368] eval: [ ' a':257 ]
[1709240368] n_past = 407
[1709240368] last: [ ' accurate':7187, ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813 ]
[1709240368] n_remain: 111
[1709240368] eval: [ ' given':1813 ]
[1709240368] n_past = 408
[1709240368] last: [ ' than':621, ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704 ]
[1709240368] n_remain: 110
[1709240368] eval: [ ' piece':3704 ]
[1709240368] n_past = 409
[1709240368] last: [ ' traditional':4569, ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286 ]
[1709240368] n_remain: 109
[1709240368] eval: [ ' of':286 ]
[1709240368] n_past = 410
[1709240368] last: [ ' methods':5050, ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420 ]
[1709240368] n_remain: 108
[1709240368] eval: [ ' text':2420 ]
[1709240368] n_past = 411
[1709240368] last: [ ' that':326, ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448 ]
[1709240368] n_remain: 107
[1709240368] eval: [ ' belongs':14448 ]
[1709240368] n_past = 412
[1709240368] last: [ ' rely':8814, ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284 ]
[1709240368] n_remain: 106
[1709240368] eval: [ ' to':284 ]
[1709240368] n_past = 413
[1709240368] last: [ ' solely':9944, ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912 ]
[1709240368] n_remain: 105
[1709240368] eval: [ ' based':1912 ]
[1709240369] n_past = 414
[1709240369] last: [ ' on':319, ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319 ]
[1709240369] n_remain: 104
[1709240369] eval: [ ' on':319 ]
[1709240369] n_past = 415
[1709240369] last: [ ' pre':662, '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663 ]
[1709240369] n_remain: 103
[1709240369] eval: [ ' its':663 ]
[1709240369] n_past = 416
[1709240369] last: [ '-':12, 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732 ]
[1709240369] n_remain: 102
[1709240369] eval: [ ' context':4732 ]
[1709240369] n_past = 417
[1709240369] last: [ 'defined':23211, ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290 ]
[1709240369] n_remain: 101
[1709240369] eval: [ ' and':290 ]
[1709240369] n_past = 418
[1709240369] last: [ ' diction':48589, 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695 ]
[1709240369] n_remain: 100
[1709240369] eval: [ ' content':2695 ]
[1709240369] n_past = 419
[1709240369] last: [ 'aries':3166, ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13 ]
[1709240369] n_remain: 99
[1709240369] eval: [ '.':13 ]
[1709240369] n_past = 420
[1709240369] last: [ ' or':393, ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770 ]
[1709240369] n_remain: 98
[1709240369] eval: [ ' This':770 ]
[1709240369] n_past = 421
[1709240369] last: [ ' rule':3896, '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318 ]
[1709240369] n_remain: 97
[1709240369] eval: [ ' is':318 ]
[1709240369] n_past = 422
[1709240369] last: [ '-':12, 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465 ]
[1709240369] n_remain: 96
[1709240369] eval: [ ' useful':4465 ]
[1709240369] n_past = 423
[1709240369] last: [ 'based':3106, ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329 ]
[1709240369] n_remain: 95
[1709240369] eval: [ ' for':329 ]
[1709240369] n_past = 424
[1709240369] last: [ ' models':4981, '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861 ]
[1709240369] n_remain: 94
[1709240369] eval: [ ' tasks':8861 ]
[1709240369] n_past = 425
[1709240369] last: [ '.':13, '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884 ]
[1709240369] n_remain: 93
[1709240369] eval: [ ' such':884 ]
[1709240369] n_past = 426
[1709240369] last: [ '':198, '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355 ]
[1709240369] n_remain: 92
[1709240369] eval: [ ' as':355 ]
[1709240369] n_past = 427
[1709240369] last: [ '':198, '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431 ]
[1709240369] n_remain: 91
[1709240369] eval: [ ' filtering':25431 ]
[1709240369] n_past = 428
[1709240369] last: [ '4':19, '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503 ]
[1709240369] n_remain: 90
[1709240369] eval: [ ' out':503 ]
[1709240369] n_past = 429
[1709240369] last: [ '.':13, ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046 ]
[1709240369] n_remain: 89
[1709240369] eval: [ ' irrelevant':18046 ]
[1709240369] n_past = 430
[1709240369] last: [ ' Text':8255, ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321 ]
[1709240369] n_remain: 88
[1709240369] eval: [ ' information':1321 ]
[1709240369] n_past = 431
[1709240369] last: [ ' Classification':40984, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393 ]
[1709240369] n_remain: 87
[1709240369] eval: [ ' or':393 ]
[1709240369] n_past = 432
[1709240369] last: [ ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720 ]
[1709240369] n_remain: 86
[1709240369] eval: [ ' identifying':13720 ]
[1709240369] n_past = 433
[1709240369] last: [ ' LL':27140, 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257 ]
[1709240369] n_remain: 85
[1709240369] eval: [ ' trends':11257 ]
[1709240369] n_past = 434
[1709240369] last: [ 'Ms':10128, ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287 ]
[1709240369] n_remain: 84
[1709240369] eval: [ ' in':287 ]
[1709240369] n_past = 435
[1709240369] last: [ ' can':460, ' be':307, ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588 ]
[1709240369] n_remain: 83
[1709240369] eval: [ ' large':1588 ]
[1709240369] n_past = 436
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[1709240369] n_remain: 82
[1709240369] eval: [ ' amounts':6867 ]
[1709240369] n_past = 437
[1709240369] last: [ ' used':973, ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286 ]
[1709240369] n_remain: 81
[1709240369] eval: [ ' of':286 ]
[1709240369] n_past = 438
[1709240369] last: [ ' to':284, ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577 ]
[1709240369] n_remain: 80
[1709240369] eval: [ ' textual':40577 ]
[1709240369] n_past = 439
[1709240369] last: [ ' classify':36509, ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366 ]
[1709240369] n_remain: 79
[1709240369] eval: [ ' data':1366 ]
[1709240369] n_past = 440
[1709240369] last: [ ' text':2420, ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13 ]
[1709240369] n_remain: 78
[1709240369] eval: [ '.':13 ]
[1709240369] n_past = 441
[1709240369] last: [ ' into':656, ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198 ]
[1709240369] n_remain: 77
[1709240369] eval: [ '':198 ]
[1709240370] n_past = 442
[1709240370] last: [ ' pred':2747, 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198 ]
[1709240370] n_remain: 76
[1709240370] eval: [ '':198 ]
[1709240370] n_past = 443
[1709240370] last: [ 'efined':18156, ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20 ]
[1709240370] n_remain: 75
[1709240370] eval: [ '5':20 ]
[1709240370] n_past = 444
[1709240370] last: [ ' categories':9376, ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13 ]
[1709240370] n_remain: 74
[1709240370] eval: [ '.':13 ]
[1709240370] n_past = 445
[1709240370] last: [ ',':11, ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233 ]
[1709240370] n_remain: 73
[1709240370] eval: [ ' Question':18233 ]
[1709240370] n_past = 446
[1709240370] last: [ ' such':884, ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12 ]
[1709240370] n_remain: 72
[1709240370] eval: [ '-':12 ]
[1709240370] n_past = 447
[1709240370] last: [ ' as':355, ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504 ]
[1709240370] n_remain: 71
[1709240370] eval: [ 'ans':504 ]
[1709240370] n_past = 448
[1709240370] last: [ ' spam':18084, ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86 ]
[1709240370] n_remain: 70
[1709240370] eval: [ 'w':86 ]
[1709240370] n_past = 449
[1709240370] last: [ ' emails':7237, ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586 ]
[1709240370] n_remain: 69
[1709240370] eval: [ 'ering':1586 ]
[1709240370] n_past = 450
[1709240370] last: [ ',':11, ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25 ]
[1709240370] n_remain: 68
[1709240370] eval: [ ':':25 ]
[1709240370] n_past = 451
[1709240370] last: [ ' news':1705, ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140 ]
[1709240370] n_remain: 67
[1709240370] eval: [ ' LL':27140 ]
[1709240370] n_past = 452
[1709240370] last: [ ' articles':6685, ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128 ]
[1709240370] n_remain: 66
[1709240370] eval: [ 'Ms':10128 ]
[1709240370] n_past = 453
[1709240370] last: [ ',':11, ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460 ]
[1709240370] n_remain: 65
[1709240370] eval: [ ' can':460 ]
[1709240370] n_past = 454
[1709240370] last: [ ' or':393, ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148 ]
[1709240370] n_remain: 64
[1709240370] eval: [ ' provide':2148 ]
[1709240370] n_past = 455
[1709240370] last: [ ' sentiment':15598, ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187 ]
[1709240370] n_remain: 63
[1709240370] eval: [ ' accurate':7187 ]
[1709240370] n_past = 456
[1709240370] last: [ ' analysis':3781, ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290 ]
[1709240370] n_remain: 62
[1709240370] eval: [ ' and':290 ]
[1709240370] n_past = 457
[1709240370] last: [ ' of':286, ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981 ]
[1709240370] n_remain: 61
[1709240370] eval: [ ' relevant':5981 ]
[1709240370] n_past = 458
[1709240370] last: [ ' social':1919, ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429 ]
[1709240370] n_remain: 60
[1709240370] eval: [ ' answers':7429 ]
[1709240370] n_past = 459
[1709240370] last: [ ' media':2056, ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284 ]
[1709240370] n_remain: 59
[1709240370] eval: [ ' to':284 ]
[1709240370] n_past = 460
[1709240370] last: [ ' posts':6851, '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716 ]
[1709240370] n_remain: 58
[1709240370] eval: [ ' complex':3716 ]
[1709240370] n_past = 461
[1709240370] last: [ '.':13, ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683 ]
[1709240370] n_remain: 57
[1709240370] eval: [ ' questions':2683 ]
[1709240370] n_past = 462
[1709240370] last: [ ' They':1119, ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11 ]
[1709240370] n_remain: 56
[1709240370] eval: [ ',':11 ]
[1709240370] n_past = 463
[1709240370] last: [ ' do':466, ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884 ]
[1709240370] n_remain: 55
[1709240370] eval: [ ' such':884 ]
[1709240370] n_past = 464
[1709240370] last: [ ' this':428, ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355 ]
[1709240370] n_remain: 54
[1709240370] eval: [ ' as':355 ]
[1709240370] n_past = 465
[1709240370] last: [ ' by':416, ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366 ]
[1709240370] n_remain: 53
[1709240370] eval: [ ' "':366 ]
[1709240370] n_past = 466
[1709240370] last: [ ' predicting':25539, ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241 ]
[1709240370] n_remain: 52
[1709240370] eval: [ 'Who':8241 ]
[1709240370] n_past = 467
[1709240370] last: [ ' the':262, ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373 ]
[1709240370] n_remain: 51
[1709240370] eval: [ ' was':373 ]
[1709240370] n_past = 468
[1709240370] last: [ ' category':6536, ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262 ]
[1709240370] n_remain: 50
[1709240370] eval: [ ' the':262 ]
[1709240370] n_past = 469
[1709240370] last: [ ' a':257, ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717 ]
[1709240370] n_remain: 49
[1709240370] eval: [ ' first':717 ]
[1709240370] n_past = 470
[1709240370] last: [ ' given':1813, ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893 ]
[1709240370] n_remain: 48
[1709240370] eval: [ ' president':1893 ]
[1709240371] n_past = 471
[1709240371] last: [ ' piece':3704, ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286 ]
[1709240371] n_remain: 47
[1709240371] eval: [ ' of':286 ]
[1709240371] n_past = 472
[1709240371] last: [ ' of':286, ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262 ]
[1709240371] n_remain: 46
[1709240371] eval: [ ' the':262 ]
[1709240371] n_past = 473
[1709240371] last: [ ' text':2420, ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578 ]
[1709240371] n_remain: 45
[1709240371] eval: [ ' United':1578 ]
[1709240371] n_past = 474
[1709240371] last: [ ' belongs':14448, ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829 ]
[1709240371] n_remain: 44
[1709240371] eval: [ ' States':1829 ]
[1709240371] n_past = 475
[1709240371] last: [ ' to':284, ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701 ]
[1709240371] n_remain: 43
[1709240371] eval: [ '?"':1701 ]
[1709240371] n_past = 476
[1709240371] last: [ ' based':1912, ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416 ]
[1709240371] n_remain: 42
[1709240371] eval: [ ' by':416 ]
[1709240371] n_past = 477
[1709240371] last: [ ' on':319, ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539 ]
[1709240371] n_remain: 41
[1709240371] eval: [ ' predicting':25539 ]
[1709240371] n_past = 478
[1709240371] last: [ ' its':663, ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262 ]
[1709240371] n_remain: 40
[1709240371] eval: [ ' the':262 ]
[1709240371] n_past = 479
[1709240371] last: [ ' context':4732, ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376 ]
[1709240371] n_remain: 39
[1709240371] eval: [ ' correct':3376 ]
[1709240371] n_past = 480
[1709240371] last: [ ' and':290, ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280 ]
[1709240371] n_remain: 38
[1709240371] eval: [ ' answer':3280 ]
[1709240371] n_past = 481
[1709240371] last: [ ' content':2695, '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912 ]
[1709240371] n_remain: 37
[1709240371] eval: [ ' based':1912 ]
[1709240371] n_past = 482
[1709240371] last: [ '.':13, ' This':770, ' is':318, ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319 ]
[1709240371] n_remain: 36
[1709240371] eval: [ ' on':319 ]
[1709240371] n_past = 483
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[1709240371] n_remain: 35
[1709240371] eval: [ ' their':511 ]
[1709240371] n_past = 484
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[1709240371] n_remain: 34
[1709240371] eval: [ ' understanding':4547 ]
[1709240371] n_past = 485
[1709240371] last: [ ' useful':4465, ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286 ]
[1709240371] n_remain: 33
[1709240371] eval: [ ' of':286 ]
[1709240371] n_past = 486
[1709240371] last: [ ' for':329, ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303 ]
[1709240371] n_remain: 32
[1709240371] eval: [ ' language':3303 ]
[1709240371] n_past = 487
[1709240371] last: [ ' tasks':8861, ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290 ]
[1709240371] n_remain: 31
[1709240371] eval: [ ' and':290 ]
[1709240371] n_past = 488
[1709240371] last: [ ' such':884, ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732 ]
[1709240371] n_remain: 30
[1709240371] eval: [ ' context':4732 ]
[1709240371] n_past = 489
[1709240371] last: [ ' as':355, ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13 ]
[1709240371] n_remain: 29
[1709240371] eval: [ '.':13 ]
[1709240371] n_past = 490
[1709240371] last: [ ' filtering':25431, ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770 ]
[1709240371] n_remain: 28
[1709240371] eval: [ ' This':770 ]
[1709240371] n_past = 491
[1709240371] last: [ ' out':503, ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838 ]
[1709240371] n_remain: 27
[1709240371] eval: [ ' makes':1838 ]
[1709240371] n_past = 492
[1709240371] last: [ ' irrelevant':18046, ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606 ]
[1709240371] n_remain: 26
[1709240371] eval: [ ' them':606 ]
[1709240371] n_past = 493
[1709240371] last: [ ' information':1321, ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465 ]
[1709240371] n_remain: 25
[1709240371] eval: [ ' useful':4465 ]
[1709240371] n_past = 494
[1709240371] last: [ ' or':393, ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329 ]
[1709240371] n_remain: 24
[1709240371] eval: [ ' for':329 ]
[1709240371] n_past = 495
[1709240371] last: [ ' identifying':13720, ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861 ]
[1709240371] n_remain: 23
[1709240371] eval: [ ' tasks':8861 ]
[1709240371] n_past = 496
[1709240371] last: [ ' trends':11257, ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588 ]
[1709240371] n_remain: 22
[1709240371] eval: [ ' like':588 ]
[1709240371] n_past = 497
[1709240371] last: [ ' in':287, ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321 ]
[1709240371] n_remain: 21
[1709240371] eval: [ ' information':1321 ]
[1709240371] n_past = 498
[1709240371] last: [ ' large':1588, ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069 ]
[1709240371] n_remain: 20
[1709240371] eval: [ ' retrieval':45069 ]
[1709240371] n_past = 499
[1709240371] last: [ ' amounts':6867, ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393 ]
[1709240371] n_remain: 19
[1709240371] eval: [ ' or':393 ]
[1709240371] n_past = 500
[1709240371] last: [ ' of':286, ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537 ]
[1709240371] n_remain: 18
[1709240371] eval: [ ' chat':8537 ]
[1709240371] n_past = 501
[1709240371] last: [ ' textual':40577, ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645 ]
[1709240371] n_remain: 17
[1709240371] eval: [ 'bot':13645 ]
[1709240372] n_past = 502
[1709240372] last: [ ' data':1366, '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479 ]
[1709240372] n_remain: 16
[1709240372] eval: [ ' applications':5479 ]
[1709240372] n_past = 503
[1709240372] last: [ '.':13, '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13 ]
[1709240372] n_remain: 15
[1709240372] eval: [ '.':13 ]
[1709240372] n_past = 504
[1709240372] last: [ '':198, '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198 ]
[1709240372] n_remain: 14
[1709240372] eval: [ '':198 ]
[1709240372] n_past = 505
[1709240372] last: [ '':198, '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198 ]
[1709240372] n_remain: 13
[1709240372] eval: [ '':198 ]
[1709240372] n_past = 506
[1709240372] last: [ '5':20, '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818 ]
[1709240372] n_remain: 12
[1709240372] eval: [ 'In':818 ]
[1709240372] n_past = 507
[1709240372] last: [ '.':13, ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638 ]
[1709240372] n_remain: 11
[1709240372] eval: [ ' summary':10638 ]
[1709240372] n_past = 508
[1709240372] last: [ ' Question':18233, '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11 ]
[1709240372] n_remain: 10
[1709240372] eval: [ ',':11 ]
[1709240372] n_past = 509
[1709240372] last: [ '-':12, 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588 ]
[1709240372] n_remain: 9
[1709240372] eval: [ ' large':1588 ]
[1709240372] n_past = 510
[1709240372] last: [ 'ans':504, 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588, ' language':3303 ]
[1709240372] n_remain: 8
[1709240372] eval: [ ' language':3303 ]
[1709240372] n_past = 511
[1709240372] last: [ 'w':86, 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588, ' language':3303, ' models':4981 ]
[1709240372] n_remain: 7
[1709240372] eval: [ ' models':4981 ]
[1709240372] n_past = 512
[1709240372] last: [ 'ering':1586, ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588, ' language':3303, ' models':4981, ' are':389 ]
[1709240372] n_remain: 6
[1709240372] context full, swapping: n_past = 512, n_left = 512, n_ctx = 512, n_keep = 0, n_discard = 256
[1709240372] after swap: n_past = 256, n_past_guidance = 0
[1709240372] embd: [ ' are':389 ]
[1709240372] clear session path
[1709240372] eval: [ ' are':389 ]
[1709240372] n_past = 257
[1709240372] last: [ ':':25, ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588, ' language':3303, ' models':4981, ' are':389, ' designed':3562 ]
[1709240372] n_remain: 5
[1709240372] eval: [ ' designed':3562 ]
[1709240372] n_past = 258
[1709240372] last: [ ' LL':27140, 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588, ' language':3303, ' models':4981, ' are':389, ' designed':3562, ' to':284 ]
[1709240372] n_remain: 4
[1709240372] eval: [ ' to':284 ]
[1709240372] n_past = 259
[1709240372] last: [ 'Ms':10128, ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588, ' language':3303, ' models':4981, ' are':389, ' designed':3562, ' to':284, ' accurately':14351 ]
[1709240372] n_remain: 3
[1709240372] eval: [ ' accurately':14351 ]
[1709240372] n_past = 260
[1709240372] last: [ ' can':460, ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588, ' language':3303, ' models':4981, ' are':389, ' designed':3562, ' to':284, ' accurately':14351, ' understand':1833 ]
[1709240372] n_remain: 2
[1709240372] eval: [ ' understand':1833 ]
[1709240372] n_past = 261
[1709240372] last: [ ' provide':2148, ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588, ' language':3303, ' models':4981, ' are':389, ' designed':3562, ' to':284, ' accurately':14351, ' understand':1833, ' and':290 ]
[1709240372] n_remain: 1
[1709240372] eval: [ ' and':290 ]
[1709240372] n_past = 262
[1709240372] last: [ ' accurate':7187, ' and':290, ' relevant':5981, ' answers':7429, ' to':284, ' complex':3716, ' questions':2683, ',':11, ' such':884, ' as':355, ' "':366, 'Who':8241, ' was':373, ' the':262, ' first':717, ' president':1893, ' of':286, ' the':262, ' United':1578, ' States':1829, '?"':1701, ' by':416, ' predicting':25539, ' the':262, ' correct':3376, ' answer':3280, ' based':1912, ' on':319, ' their':511, ' understanding':4547, ' of':286, ' language':3303, ' and':290, ' context':4732, '.':13, ' This':770, ' makes':1838, ' them':606, ' useful':4465, ' for':329, ' tasks':8861, ' like':588, ' information':1321, ' retrieval':45069, ' or':393, ' chat':8537, 'bot':13645, ' applications':5479, '.':13, '':198, '':198, 'In':818, ' summary':10638, ',':11, ' large':1588, ' language':3303, ' models':4981, ' are':389, ' designed':3562, ' to':284, ' accurately':14351, ' understand':1833, ' and':290, ' predict':4331 ]
[1709240372] n_remain: 0
[1709240372] 
[1709240372] llama_print_timings:        load time =    4291.49 ms
[1709240372] llama_print_timings:      sample time =     286.05 ms /   512 runs   (    0.56 ms per token,  1789.91 tokens per second)
[1709240372] llama_print_timings: prompt eval time =     121.80 ms /     7 tokens (   17.40 ms per token,    57.47 tokens per second)
[1709240372] llama_print_timings:        eval time =   17381.92 ms /   511 runs   (   34.02 ms per token,    29.40 tokens per second)
[1709240372] llama_print_timings:       total time =   18092.58 ms /   518 tokens
[1709240372] Log end