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AI Product Strategy and Model Choice

Choosing an LLM: Model Selection Interview Questions

How to pick a model for a product: quality against price, why benchmark leaderboards are a weak guide, what a bigger context window really buys, and how to compare models on your own use case. Asked of AI PMs and AI engineers.

  • 23 questions with model answers
  • 1 foundational · 10 intermediate · 12 advanced

Foundational Choosing an LLM: Model Selection Questions

  1. What are the five dimensions a PM should compare models on before a product decision?Concept

Intermediate Choosing an LLM: Model Selection Questions

  1. Why is benchmark leaderboard position a weak input to model selection?Concept
  2. Describe how you would build a model bake-off for your specific use case.Case
  3. How do you weigh a model that is 20 percent better and three times more expensive?Calculation
  4. Explain when a smaller, faster model beats the frontier model in a product.Concept
  5. What does context window size actually buy you in product terms?Concept
  6. What non-quality factors should influence model choice: name four.Concept
  7. How do data residency and privacy terms constrain model selection for enterprise customers?Concept
  8. Describe how you would evaluate a model on your own domain-specific terminology.Case
  9. What role should rate limits and provider reliability play in the decision?Concept
  10. Explain the difference between choosing a model and choosing a provider.Concept

Advanced Choosing an LLM: Model Selection Questions

  1. How do you evaluate a model's reliability on structured output for your schema?Case
  2. Describe a test set you would build to choose between two candidate models.Artifact critique
  3. Explain the case for supporting multiple models behind an abstraction layer.Concept
  4. What is the product cost of switching models after launch?Concept
  5. Your chosen model is deprecated in 90 days. Walk through your response plan.Case
  6. How would you decide between an open-weights model and a proprietary API for a healthcare product?Case
  7. Explain why a model that is better on average can be worse for your product.Concept
  8. How do you compare models when your task requires tool use rather than text generation?Concept
  9. Build the scorecard you would use to present a model recommendation to leadership.Artifact critique
  10. What is your policy for adopting a newly released model into a production feature?Concept
  11. How do you handle a model that is best for one customer segment and worst for another?Case
  12. Defend a model choice to an engineer who prefers a different one.Interview

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