SWE-RL by Meta — Reinforcement Learning for Software Engineering LLMs

In this video, we dive into a new Meta research paper: "SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution". This paper introduces SWE-RL, a new reinforcement learning method for real-world software engineering. By training large language models (LLMs) directly on the evolution of real GitHub projects, SWE-RL can empower LLM to be better at software engineering. We break down: • How Meta curated 11 million pull requests from GitHub. • SWE-RL training pipeline. • SWE-RL state-of-the-art results on SWE-bench Verified for open-source models under 100B paramet…