What is Zero-Shot Learning?

Training approaches that let a model keep learning from new data without forgetting prior knowledge.

A hypothetical AI system that can perform most intellectual tasks at a human level across many domains.

Learning or adapting behavior from only a small number of examples.

Continuing training on domain-specific data to adapt a pre-trained model to a specific task.

Applying knowledge learned in one task or domain to improve another task.

A reusable prompt pattern with variables, formatting rules, and task-specific instructions.