black-box

Definition

Treating a model purely through its inputs and outputs, with no access to weights, activations, gradients, or sometimes even token probabilities. Since the strongest models are reachable only through an API, methods that hold under this restriction are the ones that can actually be applied to them. The contrast is white-box, where internals are available to probe or differentiate through.