Generative Adversarial Networks (GAN) consist of two neural networks, the generator and the discriminator, contesting with each other. This kind of setup can be beneficial in generating new, synthetic instances of data. Solvice, though primarily focused on scheduling and optimization, may glean insights from GAN mechanisms to refine optimization techniques.