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AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Han, Zhenyu et al.
arXiv (OAI Expanded) · Papers
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Reinforcement learning (RL) has become a pivotal technology in the post-training phase of large language models (LLMs). Traditional task-collocated RL frameworks suffer from significant scalability bottlenecks, while task-separated RL frameworks face challenges in managing complex dataflows and reso
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