Hands-On Large Language Models is the official code repository for O’Reilly’s “Hands-On Large Language Models” book, providing readers with a complete hands-on learning environment. This project includes a comprehensive set of Jupyter notebooks covering everything from LLM fundamentals to advanced application development, making it an ideal resource for learning and mastering LLM technology.
Comprehensive Learning System
The project adopts a progressive teaching approach, starting from LLM fundamentals and gradually delving into advanced topics like model fine-tuning, deployment, and optimization. Each chapter comes with detailed code examples and practical guidance, enabling learners to understand complex technical concepts through hands-on practice.
Practice-Oriented Content
The Jupyter notebooks cover all key aspects of LLM development, including data preprocessing, model training, performance evaluation, and production deployment. Through these practical cases, developers can learn how to apply large language model technology in real-world projects to solve actual business problems.
Technology Stack Coverage
The codebase demonstrates the mainstream technology stack used in modern LLM development, including core tools like PyTorch, Transformers, and the Hugging Face ecosystem. The project also covers key technologies needed for enterprise applications, such as model optimization, distributed training, and cloud deployment.
Open Source Learning Resources
As an open source project, all code and teaching materials are freely available for access and use. The project is continuously maintained and updated on GitHub, ensuring content stays synchronized with the latest technological developments, providing valuable learning resources for learners.
