This repository provides the official code examples for the O'Reilly book "Hands-On Large Language Models." It targets engineers, researchers, and practitioners seeking to understand and practically apply LLM concepts, offering a visually rich, code-driven approach to topics from tokenization to fine-tuning.

How It Works

The project accompanies a book featuring nearly 300 custom figures to explain LLM concepts. The code examples are structured chapter-by-chapter, demonstrating practical applications such as text classification, semantic search, prompt engineering, and model fine-tuning. The approach emphasizes visual learning combined with executable code for hands-on experience.

Quick Start & Requirements

• Recommended: Google Colab for free T4 GPU access (16GB VRAM).
• Local Setup: Refer to the setup folder for installation guides and the conda folder for environment setup.
• Dependencies: Python, PyTorch. Specific versions may vary by OS.
• Resources: Google Colab is suggested for ease of use and free GPU access.

Highlighted Details

• Comprehensive coverage of LLM fundamentals and advanced techniques.
• Visually educational approach with nearly 300 custom figures.
• Practical code labs for hands-on learning and experimentation.
• Covers a wide range of LLM applications, including classification, generation, and retrieval.

Maintenance & Community

The project is associated with authors Jay Alammar and Maarten Grootendorst, known for their visually explanatory approach to complex AI topics. Further guides complementing the book are available.

Licensing & Compatibility

The repository code is typically provided under a permissive license, but users should verify the specific license for the code accompanying the book. The book itself is published by O'Reilly.

Limitations & Caveats

While Google Colab is recommended for stability, local setups may encounter minor variations in results due to OS, Python version, and dependency differences. The repository contains code examples, not a standalone LLM framework.