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Related Questions
- What are the key differences between language models and deep learning models in the context of data augmentation?
- Can you explain the concept of 'hallucination' in LLMs and its relation to synthetic data generation?
- How do LLMs handle out-of-distribution data during synthetic data generation?
- What are some common techniques used to evaluate the quality of synthetic data generated by LLMs?
- How can LLMs be fine-tuned to generate more realistic synthetic data?
- What role does prompt engineering play in generating high-quality synthetic data with LLMs?
- Can LLMs be used to generate synthetic data for multimodal data types, such as images and text?
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