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Hands-On Large Language Models offers a detailed, expert-led guide to understanding and building advanced language models, covering key topics like sentence transformers, RAG, and prompt engineering. With a 4.7-star rating from 253 reviews and backed by O'Reilly's 40 years of trusted knowledge, this book is a must-have resource for professionals eager to accelerate their AI development skills.



















| Best Sellers Rank | 20,860 in Books ( See Top 100 in Books ) 152 in Computer Science (Books) |
| Customer Reviews | 4.7 out of 5 stars 268 Reviews |
C**T
Great book that fills a much needed niche!
This is a great resource! The strength here is on sentence transformers, RAG, Agentic AI, and prompt engineering. This books covers those topics better than many others out there. Get this book and get started expanding your AI coding!
C**I
Excellent
Well explained
T**B
Good quality
Very detailed and very structured
M**T
This is an excellent book on all things LLM.
I speak as a relative new comer to the field, but its been very helpful and informative.. A great purchase.
O**N
Very good value for my money.
Great book!
J**N
Goed boek voor wie zich wenst te verdiepen in LLM.
Goed boek voor wie zich wenst te verdiepen in LLM.
J**A
Excellent textbook with stunning visuals
I am blown away at how Jay Alammar and Maarten Grootendorst’s visuals blend in with the theoretical aspects of LLMs. As an 18 year old who is obsessed with the intricacies of LLMs and working with different environments like LangChain and the OpenAI API, this book felt like a playground. On another note, if you combine this with Chip Huyen’s AI Engineering textbook as well as the FastAPI framework and containerization using Docker, you’ll have the tools to deploy AI systems into production in the cloud.
H**H
Recommended
nice book
W**S
Amazing for building intuition on LLMs and enabling to use them in your work
This book is great but it depends a bit on the purpose you have. I have much background in general data science methods like ML and python programming but I lack knowledge on how LLMs work and how to use them which I wanted to fill in by reading. This book provided me exactly that amazingly well: Based on prior knowledge on python programming and basic data science (regression, clustering, dimension reduction etc) it provides an extremely good high level understanding and intuition on how LLMs work and it's usecases and the required code for it. I can now competently use existing models to approach text based data science tasks like classification, sentiment analysis and so on and even fine tune them to some degree. It does however not teach you how how to code LLMs from scratch, how the math works in detail and so on Anyways, if you want to go there I would still recommend starting with this book and then dive deeper with other books, as the high level discussion and applications this book provides are incredibly clear and well structured so you will have all the intuition in place which will benefit when going into the deep details. When you are one of those data folks like me however that just want to understand what LLMs can do and how to use them this is all you need.
A**.
Un excellent livre
Les livres O’reilly sont assez inégaux mais celui-là est juste excellent. Clairement un des meilleurs sur le sujet. Vous pouvez l’acheter les yeux fermés. Il est par ailleurs très bien illustré. À garder dans sa bibliothèque une fois lu pour y revenir plus tard.
Trustpilot
2 months ago
2 months ago