• benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
• 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.
• 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.

Prediction over live relational data is where most business data actually sits, and the field has lacked a shared way to compare methods honestly.

• articleShow HN: HRAG – Hybrid RAG on €116/month of Hetzner, officially benchmarkedvictor_edka
• podcastOpen SeasonMTS
• postAnnouncing AA-AnalystAgent, our new agentic benchmark for quantitative analysis Artificial Analysis

Sign in to comment.

Loading comments…