Seer System: Revolutionizing LLM Reinforcement Learning with Online Context Learning

Seer: Accelerating Large Language Model Reinforcement Learning with Online Context Learning Reinforcement learning has become a cornerstone in developing state-of-the-art large language models, enabling significant breakthroughs in complex reasoning and problem-solving capabilities. However, traditional synchronous reinforcement learning systems face severe performance bottlenecks during the rollout phase—particularly long-tail latency and poor resource utilization. Have you ever experienced training processes slowing down because a handful of long-text generation requests dragged down overall progress? This represents a typical challenge when existing systems handle long-chain reasoning tasks. Addressing this challenge, the Seer system emerges as a groundbreaking solution. Through online context learning technology, it …