In Generative Adversarial Networks (GAN), the generator's purpose is to produce data. It tries to create data that's indistinguishable from real data, aiming to fool the discriminator. While not a direct feature in Solvice's portfolio, understanding the principles behind it can guide certain optimization techniques.