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Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 11 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 9 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 9
Collections
Discover the best community collections!
Collections including paper arxiv:2302.13971
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Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 69 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 11 -
Finetuned Language Models Are Zero-Shot Learners
Paper • 2109.01652 • Published • 2 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 17
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SMOTE: Synthetic Minority Over-sampling Technique
Paper • 1106.1813 • Published • 1 -
Scikit-learn: Machine Learning in Python
Paper • 1201.0490 • Published • 1 -
Identity Mappings in Deep Residual Networks
Paper • 1603.05027 • Published • 2 -
Deep Residual Learning for Image Recognition
Paper • 1512.03385 • Published • 5
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Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 11 -
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 • 9
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Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 9 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 7 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 68
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Llemma: An Open Language Model For Mathematics
Paper • 2310.10631 • Published • 42 -
Mistral 7B
Paper • 2310.06825 • Published • 41 -
Qwen Technical Report
Paper • 2309.16609 • Published • 30 -
BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model
Paper • 2309.11568 • Published • 9
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Attention Is All You Need
Paper • 1706.03762 • Published • 34 -
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 • 24 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 8
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MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning
Paper • 2310.09478 • Published • 15 -
Can GPT models be Financial Analysts? An Evaluation of ChatGPT and GPT-4 on mock CFA Exams
Paper • 2310.08678 • Published • 11 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 233 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 11