The LLM Triad: Tune, Prompt, Reward - Gradient Flow
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As language models become increasingly common, it becomes crucial to employ a broad set of strategies and tools in order to fully unlock their potential. Foremost among these strategies is prompt engineering, which involves the careful selection and arrangement of words within a prompt or query in order to guide the model towards producing theContinue reading "The LLM Triad: Tune, Prompt, Reward"
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Reinforcement Learning from Human Feedback (RLHF), by kanika adik
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Understanding RLHF for LLMs
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Beyond Training Objectives: Interpreting Reward Model Divergence in Large Language Models
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Some Core Principles of Large Language Model (LLM) Tuning, by Subrata Goswami
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NeurIPS 2022
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Train Instruct LLMs On Your GPU with DeepSpeed Chat — Step #1: Supervised Fine-tuning, by Benjamin Marie
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Gradient Flow
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How to Fine Tune LLM Using Gradient
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A Comprehensive Guide to fine-tuning LLMs using RLHF (Part-1)
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