fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
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.
red teaming — Deliberately attacking your own AI system to find what makes it fail before someone else does.
Why it matters
Lays out a repeatable model behavior testing pattern that pairs expert red teamingDeliberately attacking your own AI system to find what makes it fail before someone else does.Full definition → with scaled automated evalA 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.Full definition → and, unusually, a retest step that measures whether a mitigation actually changed behavior.
