The user wants to understand Generative Adversarial Network in the context of Generative AI and apply it to practical AI governance or compliance work.
Generative Adversarial Network (GAN) is a machine learning architecture in which a generator and discriminator are trained in opposition. The generator learns to create realistic samples, while the discriminator learns to distinguish generated samples from real data.
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