This is a living repo of examples and recipes to build real-world AI/LLM tools with Python.
The focus is on functional patterns that help create robust and flexible tools across a variety of use-cases.
There is a rough order in terms of how advanced each example is, but you can also browse pick-and-pluck style for functionality you might require.
Enjoy! 🚀
- Basic - General setup
- Intermediate - Fine tuning, RAG, Agents, etc
- LangChain - Examples specific to LangChain 1.0
- LangGraph - Orchestration with LangGraph
- ML-CSS - Abstract machine learning and computational social science snippets
