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 does TensorRT-LLM work?

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  2. How does llama.cpp run LLMs on everyday hardware?

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  3. How does Ollama work?

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  4. When would you choose vLLM vs SGLang vs TensorRT-LLM?

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  5. What are the key SLAs and metrics for production AI systems (latency, throughput, availability)?

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  6. Cloud vs on-device Model Deployment for AI applications.

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  7. How do you implement fallback strategies when the primary model is unavailable or rate-limited?

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  8. How do you implement structured output from LLMs reliably in production?

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  9. How do you handle long contexts efficiently in production (context compression, prefix caching)?

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  10. What is semantic routing, and how do you implement it in a multi-model system?

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