GenAI Books

Generative AI (GenAI) is probably the biggest growing field within AI, driven by the huge success of Large Language Models (LLMs) since in March 2022 OpenAI unleashed ChatGPT to the public.

In this fast evolving field, the wide variety of resources can make us feel lost, not knowing where to start. This page compiles the best books in the topic, carefully reviewed by our team of experts, so that you can find the one that exactly fits you best.

Check out the best generative ai books!

The 100 Page Large Language Models Book

Another masterpiece by Andriy Burkov after the amazing 100 Page Machine Learning Book , the 1st book we ever made a review of, a short yet deeply insightful journey from language modeling fundamentals to the cutting edge of modern Large Language Models (LLMs).

You can actually find this book under this link, and the read-first, pay after philosophy of the autor, really shows true respect for his readers, and a will to expand his knowledge out there.

You should 100% check it out, we will have a full review soon!


What is ChatGPT doing… and why does it work?

Another short masterwork by another genious, this time the almigthy Stephen Wolfram, creator of Wolfram alpha. You can actually find a lengthy blog post here that covers in high-level the contents of this book.

Going from how current LLMs are built and trained, to more scientific questions, the author argues about the abstraction capabilities of current large language models and how, combined with tools that pose their own logical or mathematical language, they can really reach higher levels of performance and reasoning.

LLMs, until models like o1 where pretty bad at math, however, tools like Wolphram Alpha, with different architectures, excel at these sort of tasks, also interacting with the users through natural language…interesting no?


The LLM Engineers Handbook

Now, lets get practical. The LLM Engineers Handbook is a thorough guide on how to build and deploy LLMs and systems that depend on them in real live, by leveraging MLOps’ best practices. Without any doubt, this is one of the best practical books on LLMOps out there.

This book shows you exactly how to build and deploy LLM systems that work. Clear code, real AWS examples, and proper production setup steps. A must-buy for AI engineers who build actual products.


Thank you for reading our page on Generative AI Books, this page is still WIP, there are many more that should be here, but we want to read them slowly and fully review them before posting them here, to make sure they’re worth it.

Check out this other page for traditional Machine Learning books!

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