LLM education / hands-on tutorials
Official code repository for the O'Reilly book 'Hands-On Large Language Models', providing Jupyter notebooks and examples to learn practical LLM usage.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
If you prefer a free, continuously updated online course with roadmaps and Colab notebooks rather than a book.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
If you want to understand LLM internals by implementing a ChatGPT-like model from scratch in PyTorch.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
If you want to implement reasoning LLMs from scratch at a deeper level than the seed's practical usage focus.
Implement a reasoning LLM in PyTorch from scratch, step by step
These projects were analysed and named Hands-On-Large-Language-Models among their alternatives. The relationship is not symmetric — how Hands-On-Large-Language-Models rates them is a separate judgement, made when Hands-On-Large-Language-Models is analysed in its own right.
calls Hands-On-Large-Language-Models “Structured O'Reilly book course with notebooks; choose if you prefer that format.”
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
calls Hands-On-Large-Language-Models “An applied book that focuses on using and fine-tuning existing LLMs, for a hands-on rather than from-scratch approach.”
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
calls Hands-On-Large-Language-Models “Choose if your focus is exclusively LLMs rather than general deep learning.”
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.