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4,310 interview questions, answered.

Reference answers, what the interviewer is really testing, how it is graded, and the follow-ups that come next.

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15 questions

  1. 1What's the effect of adjusting an LLM's context window size?MediumAI MLTechnical· OpenAI
  2. 2Have you worked with AI or generative AI products before?MediumAI MLBehavioral· Mistral AI
  3. 3What factors do you evaluate before deciding whether to build, fine-tune, or buy a generative AI model?MediumAI ML· LinkedIn
  4. 4Tell me about a time when you dealt with a conflict with engineers.MediumAI MLBehavioral· Google, Meta
  5. 5Define hallucinations in LLMs.MediumAI MLTechnical· Anthropic, Mastercard
  6. 6You have text-to-music capabilities. How would you productize it?MediumAI MLProduct· OpenAI
  7. 7How do you think about AI safety, ethics, guardrails, and governance?MediumAI MLTechnical· Anthropic
  8. 8How would you handle hallucinations in a generative AI model deployed to users?MediumAI MLTechnical· Anthropic, OpenAI
  9. 9How do you measure whether an LLM or RAG project you worked on is efficient?MediumDataAI ML· Nvidia
  10. 10How would you define success metrics for an AI-oriented feature or product?MediumDataAI ML· PAPerplexity AI
  11. 11Tell me about a time when you failed to launch a product.MediumAI MLBehavioral· Capital One, Mistral AI
  12. 12Brainstorm a product idea with the help of AI.MediumAI MLProduct· Anthropic
  13. 13How have you adopted AI in your workflows? Walk through examples.MediumAI MLBehavioral· Microsoft
  14. 14What methods or metrics did you use to evaluate how well your LLM performs?MediumAI MLTechnical· Snap
  15. 15How do you approach GenAI safety in consumer products?MediumAI MLProduct· Anthropic, Google