What does “Hyperparameter” mean?

A training hyperparameter controlling how much parameters change each update step.

A held-out dataset used to measure model quality after training.

How well a model performs on new, unseen data outside the training set.

Initial large-scale model training on broad data before downstream adaptation.

The model error value computed during training and optimized downward over time.

A training and behavior-shaping approach where model outputs are guided by a fixed set of written principles.