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.
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
Why it matters
Reverse generation is a practical answer for any team whose contracts forbid retaining the exact data its evaluations depend on.
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