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Reinforcement-Learning-for-Human-Feedback-RLHF

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This repository contains the implementation of a Reinforcement Learning with Human Feedback (RLHF) system using custom datasets. The project utilizes the trlX library for training a preference model that integrates human feedback directly into the optimization of language models.

Creat2024-08-17T15:27:37
Update2025-02-15T21:02:32
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