Original Summary

I spent the past year putting together a 219-page book on prompt engineering called The Art of AI Prompts . Most advice online still revolves around simple hacks like "act as an expert" or copying templates that stop working the moment you switch models. I wanted to focus on what actually happens under the hood: token probability, attention windows, chain-of-thought structures that reduce hallucination, and how to format outputs so they do not break down in production. Rather than asking people to trust marketing copy or put in an email address, I put a 3D reader directly on the site. You can rotate the physical book on screen and read through the first 30 pages (Chapters 1, 2, and the introduction) straight in your browser: https://avibook.online Would appreciate honest thoughts from anyone working with Claude, ChatGPT, or Gemini daily. Chapter 2 goes into token prediction mechanics, and I am curious if the technical level feels right or too dense.   submitted by   /u/Street_Actuator_9747 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/15 01:23:26