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Related Questions
- How does task-specific data augmentation impact the consistency of generated text?
- What techniques can be used to ensure that data augmentation maintains consistency across prompts?
- Can you explain the relationship between data augmentation and prompt consistency in the context of large language models?
- How does task-specific data augmentation help to reduce the variability of generated text?
- What are some common pitfalls to avoid when applying data augmentation to maintain consistency across prompts?
- Can you provide examples of data augmentation techniques that are effective in maintaining consistency across prompts?
- How can data augmentation be used to improve the coherence of generated text across different prompts?
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