A large collection of ready-made LLM apps: agents, RAG systems and skills for coding agents. Every template can be run and taken apart piece by piece.
All repositories
Awesome lists & learningHannibal046
Awesome-LLM
A curated list on large language models: milestone papers, open models, training and inference frameworks, courses and books. A good reference for a first look at the field.
Who it is for
For people who want to quickly find key papers, models and learning materials on LLMs.
How to start
- Scan Trending LLM Projects at the top of the README
- Open Milestone Papers and read the key papers in order
- Check the LLM Tutorials and Courses and LLM Books sections
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+152Sep 6 — Oct 5
Author's description
Awesome-LLM: a curated list of Large Language Model
More in «Awesome lists & learning»
A free 21-lesson Microsoft course that goes from generative AI basics and prompting to working applications. Each lesson ships with code.
Code for Sebastian Raschka's book: you build a GPT-like model in PyTorch step by step, then pretrain and finetune it. The best way to see how an LLM works inside.
An animation engine Grant Sanderson uses to make 3Blue1Brown videos, including the well-known neural network ones. It is not an AI library but a tool for explaining math and ML visually.
A 12-week course on classic machine learning: 26 lessons and 52 quizzes. The foundation that makes modern models easier to understand.
A three-part LLM roadmap: fundamentals, the LLM Scientist (building models) and the LLM Engineer (building apps). Topics come with Colab notebooks.