What is a generative adversarial network? At the heart of some of the most groundbreaking advancements in AI, Generative Adversarial Networks, or GANs, present a fascinating method for generating data that is virtually indistinguishable from real-world data. These networks are made up of two models: generators and discriminators. The generator creates new data instances, while the discriminator evaluates them against a set of real data, learning to differentiate the fake from the real. The Genesis of Synthetic Realities Imagine having the power to dream up images, art, or even new fashion designs out of thin air.