Meta-Learning

A training approach where a model learns how to learn, developing general strategies for adapting quickly to new tasks with minimal data, rather than mastering any single task. Also called learning to learn, meta-learning is particularly relevant for few-shot learning scenarios where rapid adaptation is required.