{
  "id": 473376,
  "title": "5 useful things you'll learn in my new post-training textbook (shipping now!)",
  "url": "https://urgent.news/2026/08/10/5-useful-things-youll-learn-in-my-new-post-training-textbook-shipping",
  "topic": "culture",
  "section": "Culture",
  "published": "2026-08-10T13:02:42.000Z",
  "source": {
    "name": "Interconnects",
    "slug": "interconnects",
    "url": "https://www.interconnects.ai/p/5-useful-things-youll-learn-in-my"
  },
  "original_language": "en",
  "account": "1. Understanding RL algorithms: The book delves into various reinforcement learning algorithms, such as policy-gradient theorem, PPO, GSPO, and CISPO, to help readers comprehend if a new algorithm is genuine or promising. It presents these algorithms in an intuitive manner, aiding readers in grasping their designs and numerical issues.\n\n2. Post-training techniques and trade-offs: The book explains the importance of post-training techniques for aligning and fine-tuning large language models (LLMs). It highlights trade-offs to be considered while executing post-training methods and dispels common misconceptions.\n\n3. High voice explanatory text: The content of the book features higher voice explanatory text, aimed at providing a comprehensive understanding of post-training methods for LLMs. This style of text was chosen to mirror the author's perspective, making it easier for readers to follow complex concepts.\n\n4. Online availability and supplemental resources: The book is available online for free along with a 12-hour course that includes slides, a video on YouTube, a codebase, and suggested exercises. The complete package is designed to help readers grasp post-training methods and apply them effectively in their research or projects.\n\n5. Discount offer: The book is currently available at a 50% discount from August 19th onwards on Manning. It is also available on Amazon US and UK, with the US edition shipping from August and the UK edition in October.",
  "summary": "After a few long years of finding time to document my lessons from training open models, my post-training book is done!",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}