大模型基础

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

题目目录

80 道原题
  1. What is the difference between encoder-only, decoder-only, and encoder-decoder Transformer architectures?

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  2. What is KV cache, and how does it speed up inference?

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  3. Estimate the KV cache memory needed to serve a large model. How does it constrain batch size and context length?

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  4. KV Cache Compression

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  5. What is model distillation, and how is it used with LLMs?

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  6. What is Mixture of Experts (MoE), and how does it work in models like Mixtral?

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  7. What is the difference between dense and sparse models?

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  8. How does DeepSeek-V4 work?

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  9. What is Flash Attention?

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  10. What is Cross-Entropy Loss?

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