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Related Questions
- How does data augmentation impact the performance of large language models on out-of-domain data?
- Can you explain the challenges of adapting large language models to new domains without sufficient labeled data?
- What are some common techniques used for data augmentation in large language models, and how do they improve performance?
- How does data augmentation affect the robustness and generalizability of large language models?
- What is the relationship between data augmentation and the concept of domain adaptation in large language models?
- Can you discuss the importance of data quality and diversity in data augmentation for large language models?
- How can data augmentation be used to mitigate the problem of domain drift in large language models?
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