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Reading notes

Impressions of the book “Large Language Models, Prompt Engineering, and Agents”

Picked up a paper copy at the FWdays AI conference, read it, and wrote down some quick thoughts: what I liked, which parts are useful, and who this book might be for.

Dec 2025 · 5 min read · Kyiv, FWdays AI
Cover of the book “Large Language Models, Prompt Engineering, and Agents”
The paper copy I picked up at FWdays AI

Have you ever bought a book on impulse that turned out to be genuinely worth your time?

At FWdays AI this year I bought one book. It's called “Large Language Models, Prompt Engineering, and Agents”. I finished it a while ago, but only now got around to sharing my impressions.

Why did it catch my attention in the first place? Because it's a Ukrainian work. The author is Oleksandr Krakovetskyi, PhD in technical sciences. His talk at the conference really landed with me. Plus, it's a physical book — and a signed one at that. Hard to walk past something like this 🙂

Part one

The fundamentals: what language models, neural networks, tokens, and embeddings are; which models exist and who the key players are. An easy read that paints a coherent big picture.

Part two

Prompts and agents. More hands-on: you can experiment along and get a better feel for how ChatGPT works — and why it's not as simple as it looks at first glance.

I'm glad to have this book in my small library. Out of the four I own, it's definitely not the odd one out.

Which books by Ukrainian authors would you recommend?

Want to recommend a book or talk LLMs?

Drop me a line if you have your own favorites or work with LLMs in production — always curious to compare approaches.