Genetic Algorithms

Generative Models are a type of deep learning models designed to produce new, realistic data similar to their training datasets. They learn underlying patterns and structures, enabling them to generate images, text, or audio that appear authentic. Common examples include Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), widely used in creativity, data augmentation, and synthetic data generation.