Generative AI

LLM Evaluation and Guardrails

Prepare for the interview questions that separate demos from production-ready AI systems.

Recommended on day 47110 minutesAdvanced

Learning objectives

  • Design offline and online evaluations for relevance, faithfulness, safety, latency, and cost
  • Explain how to run regression checks for prompts, retrieval, and model routing
  • Connect guardrails to operational risk rather than vague policy language

Interview prompts

  • How would you evaluate a RAG assistant end to end?
  • What signals tell you hallucination is becoming a production problem?