AI 基础设施

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

题目目录

35 道原题
  1. What is tensor parallelism, and how does it help serve large models?

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  2. What is pipeline parallelism?

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  3. How does continuous batching improve LLM inference throughput?

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  4. What is speculative decoding, and how does it speed up inference?

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  5. How does Medusa (multi-head speculative decoding) work?

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  6. How does EAGLE (feature-level speculative decoding) work?

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  7. What is N-gram Speculation in LLMs, and how does it speed up generation?

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  8. What is KV cache, and how do you manage memory for it?

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  9. What is Paged Attention?

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  10. How does GGUF work?

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