Question bank

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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62 questions

  1. 49The "lost in the middle" phenomenonHardAI ML
  2. 50The main parts of a RAG systemEasyAI ML
  3. 51The ReAct frameworkMediumAI ML
  4. 52Tools in agentic AI and how agents pick themEasyAI ML
  5. 53Top-k, top-p (nucleus) and temperature samplingMediumAI ML
  6. 54What are embeddings, beyond similarity search?EasyAI ML
  7. 55What is an AI agent vs a prompt vs a chain?EasyAI ML
  8. 56What is instruction tuning and why does it matter?MediumAI ML
  9. 57What is KV cache and how does it speed up inference?MediumAI ML
  10. 58Why do transformers need positional embeddings at all?MediumAI ML
  11. 59Why multi-head attention instead of one big head?MediumAI ML
  12. 60Why rerank after retrieval?HardAI ML
  13. 61Word embeddings, from classic to modern retrievalMediumAI ML
  14. 62Dynamic batching strategies for LLM inferenceHardAI ML