17Before releasing a new model, how would you make sure it is good enough across the dozens of languages your customers use?▼hardNewGoogleMetaSarvam AI◆ premiumEnglish-only evaluation hides regressions that land on most of the world's users. The interviewer wants a plan that covers languages by importance, uses native evaluation, and gates release on per-language results.Practise this question →Read answer →
24You have $30,000 to improve a task assistant. Buy demonstrations, preference labels or execution feedback?▼expertNewAnthropic◆ premiumChoose data that can change a measured failure. Price accepted examples, reserve evaluation capacity and explain why a cheaper label may teach the wrong behavior.Practise this question →Read answer →