RLAX: Large-Scale, Distributed Reinforcement Learning for Large Language Models on TPUs

Runlong Zhou, Lefan Zhang, Shang-Chen Wu +29

Reinforcement learning (RL) has emerged as the de-facto paradigm for improving the reasoning capabilities of large language models (LLMs). We have developed RLAX, a scalable RL fra…