#artificial intelligence
Jul 2025
AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training
The architecture presented in this work provides actionable insights for designing next-generation RL training systems, and introduces a distributed data storage and transfer module that provides panoramic data management and fine-grained scheduling capabilities in a fully streamed manner.
Zhenyu Han, Ansheng You, Haibo Wang et al.
· arXiv.org · 49 citations
· ⚡8