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Related Questions
- What are the primary goals of prompt priming in relation to improving LLMs on common sense tasks?
- How does prompt priming differ from data augmentation in terms of the type of input data used?
- Can you explain the concept of 'priming' in the context of LLMs and how it affects model performance?
- What are some common techniques used in data augmentation to enhance LLM performance on common sense tasks?
- How do the effects of prompt priming and data augmentation on LLMs compare in terms of model generalizability?
- What are some potential limitations and challenges associated with using prompt priming and data augmentation to improve LLMs?
- Can you discuss the role of human evaluation in assessing the effectiveness of prompt priming and data augmentation for LLMs?
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