---
title: "Hands-On-Large-Language-Models"
type: "tool"
slug: "handsonllm-hands-on-large-language-models"
canonical_url: "https://www.graphcanon.com/tools/handsonllm-hands-on-large-language-models"
github_url: "https://github.com/HandsOnLLM/Hands-On-Large-Language-Models"
homepage_url: "https://www.llm-book.com/"
stars: 27419
forks: 6381
primary_language: "Jupyter Notebook"
license: "Apache-2.0"
categories: ["llm-frameworks", "developer-tools"]
tags: ["llm", "artificial-intelligence", "large-language-models", "oreilly-books", "book"]
updated_at: "2026-07-07T18:22:54.608076+00:00"
---

# Hands-On-Large-Language-Models

> Official code repo for 'Hands-On Large Language Models' by Jay Alammar and Maarten Grootendorst

This repository contains the code examples from the O'Reilly book Hands-On Large Language Models, offering a practical approach to understanding and utilizing large language models. It is structured primarily in Jupyter Notebooks and includes figures for educational purposes.

## Facts

- Repository: https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
- Homepage: https://www.llm-book.com/
- Stars: 27,419 · Forks: 6,381 · Open issues: 37 · Watchers: 276
- Primary language: Jupyter Notebook
- License: Apache-2.0
- Last pushed: 2026-04-24T10:20:08+00:00

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)
- [Developer Tools](/categories/developer-tools.md)

## Tags

llm, artificial-intelligence, large-language-models, oreilly-books, book

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## README (excerpt)

```text
# Hands-On Large Language Models

<a href="https://www.linkedin.com/in/jalammar/"><img src="https://img.shields.io/badge/Follow%20Jay-blue.svg?logo=linkedin"></a>
<a href="https://www.linkedin.com/in/mgrootendorst/"><img src="https://img.shields.io/badge/Follow%20Maarten-blue.svg?logo=linkedin"></a>
<a href="https://www.deeplearning.ai/short-courses/how-transformer-llms-work/?utm_campaign=handsonllm-launch&utm_medium=partner"><img src="https://img.shields.io/badge/DeepLearning.AI%20Course-NEW!-&labelColor=black&color=red.svg?logo=data:image/svg%2bxml;base64,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"></a>

Welcome! In this repository you will find the code for all examples throughout the book [Hands-On Large Language Models](https://www.amazon.com/Hands-Large-Language-Models-Understanding/dp/1098150961) written by [Jay Alammar](https://www.linkedin.com/in/jalammar/) and [Maarten Grootendorst](https://www.linkedin.com/in/mgrootendorst/) which we playfully dubbed: <br> 

<p align="center"><b><i>"The Illustrated LLM Book"</i></b></p>

Through the visually educational nature of this book and with **almost 300 custom made figures**, learn the practical tools and concepts you need to use Large Language Models today!

<a href="https://www.amazon.com/Hands-Large-Language-Models-Understanding/dp/1098150961"><img src="images/book_cover.png" width="50%" ></a>

<br>

The book is available on:

* [Amazon](https://www.amazon.com/Hands-Large-Language-Models-Understanding/dp/1098150961)
* [Shroff Publishers (India)](https://www.shroffpublishers.com/books/computer-science/large-language-models/9789355425522/)
* [O'Reilly](https://www.oreilly.com/library/view/hands-on-large-language/9781098150952/)
* [Kindle](https://www.amazon.com/Hands-Large-Language-Models-Alammar-ebook/dp/B0DGZ46G88/ref=tmm_kin_swatch_0?_encoding=UTF8&qid=&sr=)
* [Barnes and Noble](https://www.barnesandnoble.com/w/hands-on-large-language-models-jay-alammar/1145185960)
* [Goodreads](https://www.goodreads.com/book/show/210408850-hands-on-large-language-models)

## Table of Contents

We advise to run all examples through Google Colab for the easiest setup. Google Colab allows you to use a T4 GPU with 16GB of VRAM for free. All examples were mainly built and tested using Google Colab, so it should be the most stable platform. However, any other cloud provider should work. 

| Chapter  | Notebook  |
|---|---|
| Chapter 1: Introduction to Language Models  |    |
| Chapter 2: Tokens and Embeddings  |   |
| Chapter 3: Looking Inside Transformer LLMs  |   |
| Chapter 4: Text Classification  |   |
| Chapter 5: Text Clustering and Topic Modeling  |   |
| Chapter 6: Prompt Engineering  |   |
| Chapter 7: Advanced Text Generation Techniques and Tools  |   |
| Chapter 8: Semantic Search and Retrieval-Augmented Generation  |   |
| Chapter 9: Multimodal Large Language Models  |   |
| Chapter 10: Creat
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/handsonllm-hands-on-large-language-models`](/api/graphcanon/tools/handsonllm-hands-on-large-language-models)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_