A Master's student from Peking University successfully trained an RLHF dialogue model using the DeepSpeed-Chat framework. The author shared the training process and related code in the article, and summarized common issues and their solutions. The article provides a detailed introduction to the application of RLHF in dialogue systems, offering valuable references for related research.
Peking University Master's Successfully Trains RLHF Dialogue Model Based on DeepSpeed-Chat

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