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Related Questions
- What are some common techniques used for data augmentation in LLMs?
- How does data augmentation help to increase the robustness of LLMs?
- Can you explain the concept of 'noising' in data augmentation and its effect on LLMs?
- What are some real-world applications of data augmentation in LLMs?
- How does data augmentation impact the performance of LLMs on out-of-distribution data?
- Can you provide an example of how data augmentation can be used to prevent overfitting in a specific LLM architecture?
- What are some challenges associated with using data augmentation in LLMs, and how can they be addressed?
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