Blog Explains Why Reinforcement Learning Works for LLMs

A blog post by Beren Millidge explores why RL works for LLMs: pretraining signals are abundant but noisy, while RL signals are sparse yet precise, and pretraining introduces strong priors that let simple policy gradients succeed, distinguishing it from pretraining and classic RL.

2026-08-16 ~ 2026-08-17 · 2 related posts

• Why RL works for LLMs: Sparse but precise signals vs. noisy pre-training — burny_tech · 2026-08-16
• Blog Explains Why LLM Reinforcement Learning Works: Priors and Low Bias — burny_tech · 2026-08-17