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Collections including paper arxiv:2311.05661
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Prompt Engineering a Prompt Engineer
Paper • 2311.05661 • Published • 25 -
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
Paper • 2407.12994 • Published -
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Paper • 2310.14735 • Published -
Prompt Design and Engineering: Introduction and Advanced Methods
Paper • 2401.14423 • Published • 1
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 22 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 38
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ChatAnything: Facetime Chat with LLM-Enhanced Personas
Paper • 2311.06772 • Published • 35 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 30 -
Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
Paper • 2311.07989 • Published • 26 -
Instruction-Following Evaluation for Large Language Models
Paper • 2311.07911 • Published • 22
-
Prompt Engineering a Prompt Engineer
Paper • 2311.05661 • Published • 25 -
A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
Paper • 2407.12994 • Published -
Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review
Paper • 2310.14735 • Published -
Prompt Design and Engineering: Introduction and Advanced Methods
Paper • 2401.14423 • Published • 1
-
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 22 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 38
-
ChatAnything: Facetime Chat with LLM-Enhanced Personas
Paper • 2311.06772 • Published • 35 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 30 -
Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
Paper • 2311.07989 • Published • 26 -
Instruction-Following Evaluation for Large Language Models
Paper • 2311.07911 • Published • 22