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Related Questions
- What are some common data augmentation techniques used in LLMs?
- How does data augmentation affect the quality and diversity of the training data?
- What are some potential biases in data augmentation and how can they be mitigated?
- Can you explain the concept of overfitting in LLMs and how data augmentation can help address it?
- How does data augmentation impact the performance of the model on out-of-domain data?
- What are some challenges in applying data augmentation to long-form text data, and how can they be addressed?
- How can data augmentation be used to improve the robustness of LLMs to adversarial attacks?
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