sampling

A fundamentals question that comes up when a stakeholder notices the assistant answered differently yesterday. The good answer explains sampling in one minute and then turns it into product decisions.

At this scale, judging every conversation with your best model costs more than some teams' whole inference bill. The answer is a sampling design with arithmetic behind every layer.

A larger labelled set can make a broken quality bar look more precise. Allocate a fixed review budget, resolve disputed criteria and decide which results can support a launch.

Design task evidence, privacy controls and a separate diagnostic path without pretending that minimal telemetry proves semantic correctness.