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How do you evaluate the quality and accuracy of responses generated by an LLM?

Asked in a GenAI Engineer interview. What they are really testing: Whether you can turn a vague idea of a "good answer" into a repeatable evaluation pipeline that also covers retrieved context and…

  • Create a golden dataset with representative queries and reference answers
  • Assess faithfulness, answer relevance, and correctness against references
  • Use LLM as judge, calibrate against human-labeled samples for scalability

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