The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

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Deep learning systems are increasingly integrated into a vast array of critical applications ranging from autonomous vehicles to medical diagnostics, necessitating rigorous testing and evaluation ...