A vision transformer is a type of neural network that can be used for image classification and other computer vision tasks. Here’s what you need to know.
Unsupervised clustering is an unsupervised learning process in which data points are put into clusters to determine how the data is distributed in space.
Hidden Markov models are probabilistic frameworks where the observed data are modeled as a series of outputs generated by one of several internal, hidden states.
Large language models are general, all-purpose tools that need to be customized to be effective. Here’s what you need to know before adopting one for your business.
