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Generative AI operates through various architectures, with the most prominent being Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). GANs consist of two neural networks – a generator and a discriminator—engaged in a competitive process. The generator generates synthetic data, while the discriminator evaluates its authenticity.
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