Definition
Adjusting a model's weights on the fly while it works on the current task.
A family of approaches (e.g., TTRL, Akyürek et al.) that update model parameters at inference time using task-specific signals; one of two communities SIA proposes to unify with scaffold optimization.
Also called: TTT