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Jan 21
Jan 21
Collections
Discover the best community collections!
Collections including paper arxiv:2302.13971
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Aug 1
Aug 1
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Attention Is All You Need
Paper • 1706.03762 • Published • 49 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 16 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 7 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14
Collection by
Jun 16
Jun 16
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Attention Is All You Need
Paper • 1706.03762 • Published • 49 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 11 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 9 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 71
Collection by
Apr 10
Apr 10
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May 4
May 4
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Attention Is All You Need
Paper • 1706.03762 • Published • 49 -
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 30 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 11
Collection by
Feb 21
Feb 21
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MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Paper • 2310.09478 • Published • 19 -
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams
Paper • 2310.08678 • Published • 12 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 243 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 13
Collection by
Feb 19
Feb 19
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The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Paper • 2306.01116 • Published • 32 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 11 -
RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 11 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 11
Collection by
Mar 21
Mar 21
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DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Paper • 2309.03883 • Published • 34 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 30 -
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 42 -
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback
Paper • 2309.00267 • Published • 47