Mathematics

A measure of a model's ability to distinguish between positive and negative classes

An additional loss function used to train a machine learning model

The process that tells a neural network which internal settings caused an error and how to adjust them, working backwards through layers.

A representation of text as a collection of individual words, ignoring grammar and word order

A type of neural network that uses Bayesian inference to make predictions

A method for finding the best parameters for a machine learning model

A type of artificial intelligence language model that can understand and generate text in both directions, from input to output and vice versa

A method of sending data to all devices on a network