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Related Questions
- What are the key techniques used to fine-tune large language models for realistic synthetic data generation?
- How can pre-training data quality impact the realism of synthetic data generated by LLMs?
- What are some common pitfalls to avoid when fine-tuning LLMs for synthetic data generation?
- Can you explain the role of data augmentation in fine-tuning LLMs for realistic synthetic data?
- How can domain adaptation techniques be used to fine-tune LLMs for specific synthetic data generation tasks?
- What are some metrics to evaluate the realism of synthetic data generated by LLMs?
- How can multi-task learning be used to fine-tune LLMs for realistic synthetic data generation across multiple domains?
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