1. Model Selection advanced

    A cascade sends every request to a small model and escalates to the frontier model when the small model's self-reported confidence is low. Escalation ran at 18% in week one. After a prompt edit meant to stop the small model hedging, escalation fell to 2% and cost per request fell 40%. Three weeks later a customer audit finds a run of wrong answers. What failed, and which design decision allowed it?

    3 min answer model-selectioncascaderoutingquality-signals
  2. Model Selection intermediate Multiple choice

    A client wants a model that follows their specific document formatting conventions and answers from their knowledge base. What do you recommend?

    2 min answer ragfine-tuningarchitecture
  3. Model Selection intermediate

    A content platform must choose between a large hosted model, a smaller hosted model and a self-hosted open model for a moderation task. What decides it?

    2 min answer sharechatmodel-selectioncostlatency
  4. Model Selection advanced

    A platform must choose which model serves which request class. What should drive the decision, and what changes over time?

    2 min answer model-selectionroutingevaluationcost
  5. Model Selection intermediate

    A recommendation service's model server is down at peak. Should the application fall back to an older model, precomputed candidates, popularity baselines or cached per-user results — and how is the fallback tested?

    2 min answer fallbackdegradationrecommendationsresilience
  6. Model Selection intermediate

    Your music recommender uses collaborative filtering. Newly released tracks are never recommended. Why, and what do you do?

    2 min answer spotifyrecommendationscold-startensemble