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

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

I came to this book already familiar with the basics, and it still had plenty to offer. The book rewards careful reading. Skimming it would be a mistake. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Solid, and I would buy another book from this author without hesitation.

Mixed feelings. The good parts are genuinely good; the rest is forgettable.

I picked this up after getting stuck on a project and it turned out to be exactly the right book at the right time. The balance between theory and practice is well judged; neither side dominates. Some of the material is available elsewhere, but rarely presented this clearly. The examples are small enough to type out and experiment with, which is exactly what I want from a book like this. Fine, but there are stronger books on the same subject if you look around.

Almost excellent. A second edition could easily push it to five stars.

I came to this book already familiar with the basics, and it still had plenty to offer. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The writing is direct and does not waste space on filler, which I value in a technical book. The early chapters move quickly through material I already knew, but the later sections were genuinely new to me. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.