Training (model training)
The phase where model parameters are optimized on data or feedback before deployment: distinct from inference at run time.
Training adjusts weights and other learnable parameters using a dataset and a loss or reward signal. The result is a model ready for validation, optional supervised learning stages, fine-tuning, and inference.