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What does PASS@K represent in evaluation metrics?

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How does PASS@K differ from traditional accuracy metrics?

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If a model achieves a PASS@5 score of 0.8, what does this indicate?

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In One-Shot Prompting, how many examples of a prompt are provided to the model during training?

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What distinguishes Few-Shot Prompting from One-Shot Prompting?

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How does Zero-Shot Prompting differ from Few-Shot Prompting?

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What does LoRA stand for in the context of language models?

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How does LoRA make language models more adaptable?

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What is one benefit of using LoRA in language models?

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What is a characteristic of a Low Rank Matrix?

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