A generative model is a type of machine learning algorithm that uses statistical methods to generate new data that is similar to existing data. Examples of generative models include Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Generative Latent Variable Models (GLVMs).

A discriminative model is a type of machine learning algorithm that is used to classify data into different categories. Examples of discriminative models include Support Vector Machines (SVMs), Logistic Regression, and Decision Trees.

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