Model Training

Model training is the process through which an AI model learns patterns and capabilities from data and feedback.

During training, the parameters of the model are repeatedly adjusted to improve its performance on an objective.

Training generally happens before deployment, although models can subsequently undergo additional training, fine-tuning or other forms of adaptation.