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title: "A Deep Dive into PPO for Language Models"
date: 2025-08-03T01:47:10
date: 2025-08-03T03:19:06
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@@ -9,7 +9,7 @@ Large Language Models (LLMs) have demonstrated astonishing capabilities, but out
You may have seen diagrams like the one below, which outlines the RLHF training process. It can look intimidating, with a web of interconnected models, losses, and data flows.
![[Pasted image 20250730232756.png]]
![](/images/a-deep-dive-into-ppo-for-language-models/64bfdb4b-678e-4bfc-8b62-0c05c243f6a9.png)
This post will decode that diagram, piece by piece. We'll explore the "why" behind each component, moving from high-level concepts to the deep technical reasoning that makes this process work.