101 Generative AI Projects: Diffusion Models, Transformers, ChatGPT, and Other LLMs (Paperback)

Finally, a book that treats artificial intelligence with the care it deserves.

This is the third book I have read on artificial intelligence this year, and it is comfortably the best of them. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. I particularly liked the way the author builds up from simple cases before introducing the harder material. A couple of chapters felt like they could have been merged, but that is a minor complaint. Worth the money and the reading time, without hesitation.

I have read a lot of books on this subject and this is the clearest.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The code samples assume a particular environment, which took a bit of fiddling to get running properly. A couple of chapters felt like they could have been merged, but that is a minor complaint. The author clearly knows the subject deeply and has thought hard about how to teach it. An easy five stars from me. I look forward to whatever the author writes next.