A Generative Adversarial Network is an instance of Generative AI where original content (text, speech, images, etc.) is produced through the interactions of two Artificial Neural Networks: a generator and a discriminator. The generator neural network generates novel content and the discriminator neural network evaluates the content. The discriminator is adversarial because it compares the new content to examples already confirmed to be authentic. If the discriminator can distinguish the new content from the confirmed content, the generator must improve the content through subsequent iterations until the discriminator cannot reliably differentiate between the new content and the confirmed content.
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