Intel / article

Evalverse Llm Evaluation Opensource

Terms in this piece · Glossary

eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.

Why it matters

Evalverse unifies lm-- and FastChat behind one interface via git submodules, so a team can run and refresh multiple suites without maintaining separate harnesses, and can trigger runs and reports from Slack.