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

An enjoyable and informative read, though it could have been shorter.

I had been on the fence about this one for a while, and I should have bought it sooner. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. Some of the material is available elsewhere, but rarely presented this clearly. Four stars, and I suspect a second edition could easily push it to five.

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

There is a particular kind of technical book that is dense without being difficult, and this is one of them. The chapters on artificial intelligence are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. I particularly liked the way the author builds up from simple cases before introducing the harder material. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. Worth the money and the reading time, without hesitation.

Excellent from start to finish. No filler, no padding.

I have been working with artificial intelligence for a few years now and I still found plenty here that was new to me. There is a section near the end that ties several earlier ideas together in a way I had not seen before. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. Worth the money and the reading time, without hesitation.