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4,310 interview questions, answered.

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15 questions

  1. 1Design a language model that minimizes harmful outputs while remaining useful and expressive.HardSystem design· 30 min· Anthropic
  2. 2Evaluate LLMs on a toy task and use LLMs to generate additional evaluation data.Hard· 30 min· Anthropic
  3. 3How do you approach generative-AI safety in a consumer product?HardProduct· 20 min· Google, Anthropic
  4. 4When is a prompt cache calculated, and what is a model harness?Hard· 20 min· Anthropic
  5. 5Write code rapidly to a specification, then refactor it as new constraints are introduced.HardCoding· 20 min· Anthropic
  6. 6Debug an actual LLM inference step in a 20–30 line Colab skeleton (Anthropic)HardCodingSystem design· Anthropic
  7. 7Design a distributed training pipeline for an LLM with fault toleranceHardCodingSystem design· Anthropic
  8. 8Design a system for safe deployment of AI models in productionHardCodingSystem design· Anthropic
  9. 9Optimize a Python-simulated TPU kernel to beat 1487 cycles (Anthropic performance take-home)HardCodingSystem design· Anthropic
  10. 10Design a key-value store.HardSystem design· Accenture, Anthropic
  11. 11Design an inference batching system for a single GPU that can handle up to 100 inputs per batch while users wait synchronously, maximizing utilization under compute constraints.HardAI MLSystem design· Anthropic
  12. 12Implement LRU Cache.HardCoding· Accenture, Adobe
  13. 13Describe your process for developing a marketing strategy for new products, especially in highly competitive industries like consumer electronics.HardTechnical· Anthropic
  14. 14Describe a challenging project you worked on and what made it difficult.HardBehavioral· Amazon, Anthropic
  15. 15Describe the most technically complex project you have worked on and explain why it was complex.HardBehavioral· Amazon, Anthropic