How can Variational Autoencoders (VAEs) be used in anomaly detection?
a) The natural language processing of VAEs helps them compute complex information. With their large-scale transformer architecture, they can quickly process language-based information.
b) VAEs can be trained on a dataset of normal data, and later be used to identify instances that deviate from the normal data.
c) VAEs are trained with large datasets, and they have the capability to predict future anomalies by analyzing the behaviors of production systems.