Fareed Khan

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

A straightforward method for training your LLM, from downloading data to generating text.

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

Implementation of all RL algorithms in a simpler way

Core 7 layers of production grade agentic system

Building DeepSeek R1 from Scratch