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Related Questions
- How does data augmentation impact the performance of large language models in downstream tasks?
- Can you explain the difference between data augmentation and data generation in the context of fine-tuning large language models?
- What are some common techniques used for data augmentation in large language models, and how do they improve model performance?
- How does data augmentation affect the interpretability of large language models?
- Can data augmentation be used to reduce overfitting in large language models?
- What are some potential drawbacks of relying heavily on data augmentation for fine-tuning large language models?
- Can you provide an example of a successful application of data augmentation in fine-tuning a large language model?
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