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 are embeddings?

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  2. Explain the Query(Q), Key(K), and Value(V) in attention.

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  3. What is self-attention, and how does it work in Transformers?

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  4. What is Cross Attention in Transformers?

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  5. Why do we scale the dot product attention by √dₖ in the Transformer architecture?

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  6. What is causal masking?

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  7. What are multi-head attention mechanisms? Why use multiple attention heads?

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  8. What are Feed-Forward Networks in LLMs?

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  9. What is Generative AI?

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  10. What is the context window in LLMs, and why does it matter?

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