Results for "task-specific"

Reusing knowledge from a source task/domain to improve learning on a target task/domain, typically via pretrained models.

Updating a pretrained model’s weights on task-specific data to improve performance or adapt style/behavior.

Achieving task performance by providing a small number of examples inside the prompt without weight updates.

Local surrogate explanation method approximating model behavior near a specific input.

Hidden behavior activated by specific triggers, causing targeted mispredictions or undesired outputs.

Attacks that infer whether specific records were in training data, or reconstruct sensitive training examples.

Task instruction without examples.

Reward only given upon task completion.

AI limited to specific domains.