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

Strong content, uneven pacing. I would still recommend it.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The code samples assume a particular environment, which took a bit of fiddling to get running properly. I particularly liked the way the author builds up from simple cases before introducing the harder material. The chapters on artificial intelligence are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. A good addition to a technical library, as long as you know what you are buying.

Worth every page. I have already recommended it to two colleagues.

A colleague recommended this and I can see why. It does something that few technical books manage: it respects the reader's time. The book rewards careful reading. Skimming it would be a mistake. Some of the diagrams are dense and I had to reread a few sections, though that may just be me. If you have the prerequisites, this is an easy recommendation. I will be keeping it on my desk rather than the shelf.

A useful guide. The examples assume a particular environment, but that is fixable.

I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. Some terminology is introduced without much ceremony; I had to look a few things up along the way. Good value for the price and worth the time it takes to work through properly.