Philipp Schmid • 1/23/2024

RLHF in 2024 with DPO and Hugging Face

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This article provides a step-by-step tutorial on implementing Reinforcement Learning from Human Feedback (RLHF) using the Direct Preference Optimization (DPO) method. It covers setting up the development environment with PyTorch and Hugging Face libraries, preparing a preference dataset, aligning a fine-tuned Mistral 7B model with the DPOTrainer from TRL, and includes considerations for single-GPU setups and evaluation.

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#llm #Hugging Face #Dpo
RLHF in 2024 with DPO and Hugging Face

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