Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new data samples similar to the training data. They have applications in tasks such as image generation, anomaly detection, and data compression.
GPT is an advanced language model that uses Deep Learning techniques to generate human-like text. Built on the Transformer architecture, GPT models have been…