I Built the Smallest LLM I Could to Understand How They Work
A hands-on walkthrough of a ~108k-parameter character-level GPT in under 200 lines of PyTorch, with the full code included.

A hands-on walkthrough of a ~108k-parameter character-level GPT in under 200 lines of PyTorch, with the full code included.

Build a working coding agent in plain Python: a model, three tools, and a loop that acts, observes, and decides what to do next.

A free, open-source project that runs a huge AI model on a regular gaming graphics card. No cloud, no monthly bill. Here is what it does and how it pulls it off.

It leads on knowledge work, trails on a few coding tests, and is limited to cyber defenders for now. Here's what Google actually shipped.

How Castform and Neon use RL post-training, hybrid search, and existing company data to turn small open models into specialized retrieval agents.

Token optimization is a context engineering problem, not a prompt-shortening contest — and the two levers most developers never touch will cut your AI bill by 70%
