Reinforcement Learning

An in-depth technical retrospective on implementing Reinforcement Learning (RL) for agentic workflows in open-source LLMs, covering GRPO, reward modeling, and infrastructure optimization.

DeepSeek recently updated its R1 technical report from 22 to 86 pages, revealing the intricate details of its multi-stage training pipeline, failed experiments, and the path to DeepSeek-V4.