Project Title
Hands-On-Large-Language-Models — A practical guide to understanding and using Large Language Models with over 300 custom figures
Overview
Hands-On-Large-Language-Models is an open-source repository containing the code for the O'Reilly book "Hands-On Large Language Models" by Jay Alammar and Maarten Grootendorst. This project aims to provide a visually educational resource for learning practical tools and concepts related to Large Language Models (LLMs). With almost 300 custom-made figures, it offers a unique, illustrated approach to understanding LLMs.
Key Features
- Over 300 custom-made figures for visual understanding
- Code examples for each chapter, runnable in Google Colab
- Focus on practical tools and concepts for using Large Language Models
- Easy setup and testing using Google Colab
Use Cases
- Researchers and developers looking to understand and implement LLMs in their projects
- Educators using the book as a supplementary resource for teaching NLP and ML
- Data scientists exploring the capabilities of LLMs for various applications
Advantages
- Visually educational approach with numerous custom figures
- Easy-to-follow code examples that can be run in Google Colab
- Comprehensive coverage of practical tools and concepts for using LLMs
- Open-source nature allows for community contributions and improvements
Limitations / Considerations
- The book and repository focus on theoretical understanding and practical applications, not on building LLMs from scratch
- Some knowledge of Python and Jupyter Notebooks is required to fully utilize the code examples
- The effectiveness of LLMs can vary depending on the specific use case and dataset
Similar / Related Projects
- Hugging Face Transformers: A library of pre-trained models for NLP tasks, offering a wide range of LLMs and fine-tuning capabilities. (https://github.com/huggingface/transformers)
- TensorFlow: An open-source machine learning framework that can be used to build and train LLMs. (https://github.com/tensorflow/tensorflow)
- spaCy: An open-source library for industrial-strength natural language processing in Python, offering pre-trained models and easy integration with LLMs. (https://github.com/explosion/spaCy)
Basic Information
- GitHub: https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
- Stars: 15,521
- License: Unknown
- Last Commit: 2025-09-10
📊 Project Information
- Project Name: Hands-On-Large-Language-Models
- GitHub URL: https://github.com/HandsOnLLM/Hands-On-Large-Language-Models
- Programming Language: Jupyter Notebook
- ⭐ Stars: 15,521
- 🍴 Forks: 3,664
- 📅 Created: 2024-06-28
- 🔄 Last Updated: 2025-09-10
🏷️ Project Topics
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