HandsOnLLM/Hands-On-Large-Language-Models
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
This project provides practical code examples for understanding and working with Large Language Models (LLMs). It helps data scientists, machine learning engineers, and researchers explore how LLMs function and apply them to various text-based tasks. Users input text data and receive classified text, clustered topics, generated content, or search results powered by LLMs.
23,351 stars.
Use this if you are a machine learning practitioner looking for hands-on code examples and explanations to grasp the core concepts and applications of Large Language Models, particularly when following the O'Reilly book 'Hands-On Large Language Models'.
Not ideal if you are a business user looking for a no-code solution or a complete application to solve a specific business problem without needing to understand the underlying machine learning implementation.
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Dec 17, 2025
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