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

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

I came to this book already familiar with the basics, and it still had plenty to offer. There is a section near the end that ties several earlier ideas together in a way I had not seen before. The explanations are careful without being condescending, which is a difficult balance to strike. The chapters on artificial intelligence are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. This is the book I wish had existed when I started working with artificial intelligence.

Recommended, with the caveat that it is not a gentle introduction.

I came to this book already familiar with the basics, and it still had plenty to offer. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. It is denser than the page count suggests, and I found myself slowing down around the middle. Solid, and I would buy another book from this author without hesitation.

Very good, with a few caveats. The core material is strong.

I was looking for something that would bridge the gap between tutorials and proper reference material, and this does that well. The exercises at the end of each chapter are worth doing — they caught a few misconceptions I did not know I had. The explanations are careful without being condescending, which is a difficult balance to strike. The code samples assume a particular environment, which took a bit of fiddling to get running properly. Recommended, with the caveat that it is not a gentle introduction.