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Efficient training of large language models on distributed infrastructures: a survey
Large Language Models (LLMs) like GPT and LLaMA are revolutionizing the AI industry with
their sophisticated capabilities. Training these models requires vast GPU clusters and …
their sophisticated capabilities. Training these models requires vast GPU clusters and …
Rlhfuse: Efficient rlhf training for large language models with inter-and intra-stage fusion
Reinforcement Learning from Human Feedback (RLHF) enhances the alignment between
LLMs and human preference. The workflow of RLHF typically involves several models and …
LLMs and human preference. The workflow of RLHF typically involves several models and …
On designing effective rl reward at training time for llm reasoning
Reward models have been increasingly critical for improving the reasoning capability of
LLMs. Existing research has shown that a well-trained reward model can substantially …
LLMs. Existing research has shown that a well-trained reward model can substantially …