VeRL Framework for Reinforcement Learning of LLMs: A Practical Guide

This article focuses on utilizing the VeRL framework for reinforcement learning (RL) of large language models (LLMs) using algorithms like PPO, GRPO, and DAPO, based on Megatron-LM. The exploration of different RL libraries like trl, ms swift, and nemo rl suggests a commitment to finding optimal solutions for LLM fine-tuning. However, a deeper dive into the comparative advantages of VeRL over alternatives would enhance the analysis.

• •The article introduces the VeRL framework for LLM reinforcement learning.
• •It utilizes algorithms such as PPO, GRPO, and DAPO.
• •Megatron-LM serves as the base model for the implementation.