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Let's break it down a little further. **Generative Adversarial Networks (GANs)** are like having two AI systems competing against each other: a generator and a discriminator. The generator creates new images, while the discriminator tries to distinguish between the generated images and real images from the training dataset. Through this adversarial process, the generator continuously improves its ability to create realistic and compelling art. It’s like having an AI artist constantly refining their technique based on feedback from an AI critic.
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