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Related Questions
- What are the key differences in data augmentation techniques for sequential and non-sequential large language models?
- Can you provide examples of data augmentation methods for masked language models and transformer-based architectures?
- How does data augmentation impact the performance of large language models trained on sequential data versus non-sequential data?
- What are some common data augmentation techniques used for text classification tasks in large language models?
- Can you discuss the role of data augmentation in improving the robustness of large language models to out-of-vocabulary words?
- How can data augmentation be used to reduce the overfitting of large language models to specific datasets?
- What are some data augmentation techniques that can be applied to large language models for few-shot learning tasks?
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