AImodels
AImodels are computational systems designed to perform tasks that typically require human intelligence. They learn from data by adjusting internal parameters of a mathematical representation, such as a neural network or probabilistic model, to approximate the relationship between inputs and desired outputs. AImodels are used across many domains, including language processing, perception, decision making, and control.
Models come in many forms. Broadly, there are supervised models trained on labeled examples, unsupervised models
Training involves data collection, preprocessing, choosing an objective function, and optimizing parameters to minimize a loss.
AImodels are applied in natural language understanding, machine translation, image and speech recognition, recommendation and search,