Generative Model

A Generative Model is a model that generates data that has a similar distribution to its training dataset.

In 2024, at the time of writing, some common approaches to generative machine learning are:

1. Transformer
2. Denoising Diffusion Model
3. Generative Adversarial Network
4. Variational Auto-Encoder