deep learning models or machine learning models in general can be divided into two types generative and discriminative a discriminative model is a type of model that is used to classify or predict labels for data points discriminative models are typically trained on the data set of labeled data points and they learn the relationship

generative model generates new data instances based on a learned probability distribution of existing data generative models generate new contents

generative models can generate new data instances and discriminative models discriminate between different kinds of data instances one more quick example the top image shows a traditional machine learning model

the bottom image shows a generative AI model which attempts to learn patterns on content so that it can generate new content