Boosting LLMs: Verl Framework Ushers in New Era of Reinforcement Learning

research #llm 📝 Blog|Analyzed: Feb 14, 2026 03:48•

Published: Jan 10, 2026 12:00

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1 min read

Analysis

This article highlights the use of the Verl framework for applying Reinforcement Learning (RL) techniques (PPO, GRPO, DAPO) to Large Language Models (LLMs) built upon the Megatron-LM architecture. The exploration of RL methods opens exciting possibilities for refining and optimizing LLMs.

Key Takeaways

•Verl framework provides a new approach to enhance LLMs.
•The project utilizes RL methods such as PPO, GRPO, and DAPO.
•The base architecture is Megatron-LM, suggesting a focus on scalable LLM training.

Reference / Citation

"This article explains how to use the Verl framework to apply RL (PPO, GRPO, DAPO) to LLMs based on Megatron-LM."

Z

Zenn LLMJan 10, 2026 12:00

* Cited for critical analysis under Article 32.

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Boosting LLMs: Verl Framework Ushers in New Era of Reinforcement Learning

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Source: Zenn LLM