Generative Modeling

Generative modeling focuses on learning the underlying distribution of a dataset, enabling the creation of new data points that maintain the same characteristics as the original data. This is commonly used in applications such as image synthesis, text generation, and music composition. Generative models can be categorized into various types, including generative adversarial networks (GANs) and variational autoencoders (VAEs).