Generative models are a class of machine learning models that can generate new data instances that resemble a given dataset, capturing the underlying distribution of the data. They are widely used in tasks such as image synthesis, text generation, and data augmentation, leveraging techniques like variational inference and adversarial training to create realistic outputs.