GitHub - HandsOnLLM/Hands-On-Large-Language-Models: Official code repo for the O'Reilly Book - "Hands-On Large Language Models
llm-bookoreillypractical-llmjay-alammarmaarten-grootendorst
Abstraction: Official code repo for illustrated O'Reilly LLM book
Key points:
- Book authored by Jay Alammar and Maarten Grootendorst; published by O'Reilly (ISBN 978-1098150969, 2024)
- ~300 custom figures; covers tokenizers, semantic search, RAG, fine-tuning, and transformer internals
- All examples designed to run on Google Colab with a free T4 GPU (16GB VRAM)
- Endorsed by Andrew Ng, Nils Reimers (Cohere/sentence-transformers), Josh Starmer (StatQuest), Leland McInnes (UMAP)
- Bonus guides include Visual Guide to Mamba, Quantization, Mixture of Experts, Reasoning LLMs, DeepSeek-R1
- Repo also covers the Illustrated Stable Diffusion and related visual explainers
Connections: Jay Alammar · Maarten Grootendorst · Large Language Models · Transformers · Retrieval Augmented Generation
Source: https://github.com/HandsOnLLM/Hands-On-Large-Language-Models/tree/main