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LLM 中等

What is self-consistency prompting, and how does it improve reasoning?

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LLM 中等

What is In-Context Learning (ICL), and how is few-shot prompting related?

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LLM 中等

How would you design a scalable LLM inference system for real-time applications?

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LLM 中等

What are the challenges in performing distributed inference across multiple GPUs?

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LLM 中等

What is speculative decoding, and when would you use it?

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LLM 中等

Explain the pros and cons of large and small context windows in LLM inference

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LLM 中等

What is the role of the context window during LLM inference?

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LLM 中等

Compare deterministic and stochastic decoding methods in LLMs

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LLM 中等

When might prompt engineering be preferred over task-specific fine-tuning?

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LLM 中等

Explain how parameter efficient fine-tuning addresses the limitations of full fine-tuning

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LLM 中等

What are the strengths and limitations of full fine-tuning?

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LLM 中等

After tokenization, how are tokens converted into embeddings in the Transformer model?

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