launch

Launches fail on rate limits more often than on model quality. This question checks whether you can turn expected usage into tokens per minute, compare it with limits, and plan headroom.

Model documentation is read by developers deciding whether to build on a model, by enterprises doing due diligence, and by regulators. The interviewer wants contents that serve all three, honestly.

Embeddings are infrastructure that customers store and rebuild around. The interviewer wants retrieval quality on real tasks, multilingual coverage, cost, and above all a plan for version changes, because switching embeddings means re-indexing everything.