Generative AI in 20 Minutes: (Coffee Break Series)

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

This is the third book I have read on ai & machine learning this year, and it is comfortably the best of them. The balance between theory and practice is well judged; neither side dominates. The writing is direct and does not waste space on filler, which I value in a technical book. A couple of chapters felt like they could have been merged, but that is a minor complaint. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.

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 writing is direct and does not waste space on filler, which I value in a technical book. It is denser than the page count suggests, and I found myself slowing down around the middle. Three stars feels about right. It will stay on my shelf, but it will not be the first one I reach for.

A genuinely enjoyable read that also taught me a great deal.

I had been on the fence about this one for a while, and I should have bought it sooner. 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. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. I have already recommended it to two colleagues and will recommend it to more.