LLMOps 与生产应用

题集来源:AMIT SHEKHAR(amitshekhariitbhu)收录项目:ai-engineering-interview-questions查看原题集

题目目录

53 道原题
  1. How do you monitor LLM applications in production?

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  2. What is LLM observability?

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  3. What are guardrails for LLMs, and how do you implement them?

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  4. How do you implement content filtering for AI outputs?

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  5. How do you estimate the cost of running an AI-powered feature in production?

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  6. How do you optimize LLM inference costs in production?

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  7. How do you implement A/B testing for LLM systems?

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  8. What is CI/CD for AI applications, and how does it differ from traditional CI/CD?

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  9. How do you version and manage prompts in production?

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  10. What is model versioning, and how do you handle model rollbacks?

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