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LLM 中等

Explain the working of the embedding layer in the transformer model

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LLM 中等

Explain the role of token embeddings in the Transformer model

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LLM 中等

Explain the criteria for choosing different decoding strategies

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LLM 中等

How is Beam Search fundamentally different from a Breadth-First Search (BFS) or Depth-First Search (DFS)?

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LLM 中等

When you set the temperature to 0.0, which decoding strategy are you using?

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LLM 中等

Explain the limitations of using LLM fine-tuning over RAG

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LLM 中等

Explain the limitations of using RAG over LLM fine-tuning

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LLM 中等

When should you use fine-tuning vs. RAG?

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LLM 中等

What is cross-entropy loss, and how is it applied during transformer training?

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LLM 中等

Why is layer normalization used, and where is it applied in Transformer?

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LLM 中等

What is the purpose of residual (skip) connections in Transformer model layers?

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LLM 中等

Discuss the primary trade-off between the computational cost and the output quality when comparing Greedy Search and Beam Search

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