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Related Questions
- How does synthetic data generation differ from data augmentation in machine learning?
- What are the benefits of using synthetic data generation in data augmentation?
- Can you provide examples of synthetic data generation techniques used in computer vision and natural language processing?
- How does synthetic data generation help address issues of data bias and imbalance in machine learning models?
- What are some common applications of synthetic data generation in real-world scenarios?
- What are the challenges and limitations of synthetic data generation, and how are they being addressed?
- Can you explain the role of generative models in synthetic data generation and how they are used in data augmentation?
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