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</html><description>Description: Exemplarization in the context of Generative Adversarial Networks (GANs) refers to the process of creating exemplary instances used for training or evaluating models. This process is fundamental to ensure that generative models learn effectively from a representative dataset. Exemplarization involves selecting and preparing data that reflects the desired characteristics of the application domain, allowing [&hellip;]</description></oembed>
