Synthetic data, generated by AI models, mimics real-world data relationships and trends without containing personally identifiable information, offering a solution to privacy concerns and data availability challenges.
Model-based generation in synthetic data creation involves using machine learning models to analyze original data and capture subtle characteristics beyond statistical distributions, enhancing the realism of generated datasets.
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