Llama 3.1 8B

What if you could watch a model decide? Inside the tools that open up inference mid-computation — and the limits they hit.

Feature extraction, fill-mask, token classification — the classic NLP tasks still have a job. Here's when a small model beats a frontier API.

You don't need 10,000 examples to make a model sound like you. The real number is closer to 100 — if the edits are opinionated.

MCP standardized the pipe. It has no opinion about what flows through it — and that's where the hard part lives.