One-Shot Learning

One-shot learning is a machine learning paradigm where an AI model learns to recognize new categories of objects or patterns from just a single example. Unlike traditional methods requiring many examples, this approach aims to generalize from minimal data. It's often used in tasks like facial recognition or rare disease diagnosis.