About this project
local-ai-lab teaches how modern AI actually works by building it from scratch — small, readable programs you run on your own machine. It's one piece of a broader body of work: local-first, developer-focused, AI-native tools.
The through-line
The course grew out of a simple preference that runs through everything below: software should be understandable, should run on your own hardware, and should treat AI as a primitive you control — not a remote black box. The projects span model finetuning and compression, agent and inference tooling, AI-assisted documentation, and the everyday developer utilities that hold a workflow together.
Built and maintained by Nik Reljin. The full catalog lives on GitHub; the selection here is deliberately small — the ones most relevant to the themes of this course.