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.
A Virtual Assistant (or Virtual Agent) is an AI-powered software or application that performs various tasks and assists users with their daily activities. It…