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title: 5 useful things you'll learn in my post-training textbook
description: Nathan Lambert announces the publication of his textbook 'Reinforcement Learning from Human Feedback: Aligning and Post-training LLMs' by Manning. The book...
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og:description: Nathan Lambert announces the publication of his textbook 'Reinforcement Learning from Human Feedback: Aligning and Post-training LLMs' by Manning. The book...
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# 5 useful things you'll learn in my post-training textbook

**[Interconnects](https://daily.dev/sources/interconnects)** · 8 min read · 0 upvotes · 0 comments

## Summary

Nathan Lambert announces the publication of his textbook 'Reinforcement Learning from Human Feedback: Aligning and Post-training LLMs' by Manning. The book covers five key areas: intuitions for RL algorithms (PPO, GSPO, CISPO), systems design for modern RL training, the history of post-training from 2018 to present, demystifying distillation techniques, and practical pitfalls like over-optimization and character training. It targets CS-degree-level readers and is freely available online alongside a 12-hour YouTube course and code exercises. A 50% discount is available until August 19th with code PBLambert.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.interconnects.ai/p/5-useful-things-youll-learn-in-my>

## Questions this post answers

### What topics does the RLHF post-training textbook by Nathan Lambert cover?

The book covers RL algorithm intuitions (policy-gradient theorem, PPO, GSPO, CISPO), systems design for asynchronous RL training, the history of post-training from 2018 onward, knowledge distillation techniques including multi-teacher on-policy distillation, and practical challenges like over-optimization, regularization, evaluation, and character training. It targets readers with a CS bachelor's degree or equivalent background.

_Engineers building on top of LLMs track post-training research like this on daily.dev._

### Is there a free version of the RLHF book by Nathan Lambert available online?

Yes, the full book is freely available at rlhfbook.com. It also comes with a 12-hour course including slides and YouTube videos, a code repository with exercises, and model completion comparisons. A print copy is available from Manning with 50% off using code PBLambert until August 19th, and from Amazon US now and Amazon UK in October.

_Researchers keeping up with LLM alignment resources find them faster on daily.dev._

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---

Tags: [#llm](https://daily.dev/tags/llm), [#machine-learning](https://daily.dev/tags/machine-learning)

[View this post on daily.dev](https://daily.dev/posts/5-useful-things-you-ll-learn-in-my-post-training-textbook-b3qbgnwpj)

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