Synthetic data
Synthetic Data is artificially generated data that mimics real-world data in structure and statistical properties but does not originate from actual events or individuals. Created using algorithms, simulations, or generative models, synthetic data is used to train, test, and validate AI systems—especially when real data is limited, sensitive, or expensive to obtain. It helps improve model performance, preserve privacy, and accelerate development in areas like computer vision, natural language processing, and predictive analytics.
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