Few-Shot Learning

A machine learning paradigm where a model can learn a new task from only a few training examples, leveraging prior knowledge from pre-training.

An AI that can learn a new task from just a handful of examples. Instead of needing thousands of examples, you show it 3-5 and it gets the idea. Like a quick learner on day one of a new job.