A Generative Model is a type of machine learning model that is capable of generating new data instances that are similar to the data it was trained on. By learning the underlying distribution of the training data, generative models can produce new, synthetic samples that closely resemble the original data. This capability is useful in applications such as data augmentation, content creation, and simulation.