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Related Questions
- What are the common challenges LLMs face when encountering out-of-distribution data during synthetic data generation?
- How do LLMs detect and handle anomalies in synthetic data?
- What techniques can be used to improve LLMs' robustness to out-of-distribution data during synthetic data generation?
- Can you explain the concept of data augmentation in the context of LLMs and out-of-distribution data?
- How do LLMs learn to generalize to unseen data during synthetic data generation?
- What is the role of regularization techniques in improving LLMs' performance on out-of-distribution data?
- Can you discuss the trade-off between data quality and data quantity in the context of LLMs and out-of-distribution data during synthetic data generation?
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