In the world of artificial intelligence, Generative Adversarial Networks, or GANs, have emerged as a powerful and revolutionary concept. With their ability to generate realistic and high-quality synthetic data, GANs have captured the attention of researchers, developers, and enthusiasts alike. These networks are transforming the way we approach various AI applications, from computer vision and image synthesis to natural language processing and even drug discovery.
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