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Related Questions
- What are the benefits of data augmentation in improving the robustness of LLMs in downstream tasks?
- How does data augmentation affect the generalization capabilities of LLMs in various NLP tasks?
- Can you explain the role of data augmentation in reducing overfitting in LLMs during training?
- What are some common techniques used for data augmentation in LLMs, and which ones are most effective?
- How does the choice of data augmentation strategy impact the performance of LLMs in specific downstream tasks?
- What is the relationship between data augmentation and the quality of pre-training data for LLMs?
- Can you discuss the trade-offs between data augmentation, model capacity, and training time in LLMs?
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