Zero-Shot Learning (ZSL) is an AI technique where a model can make predictions or solve tasks it has never seen during training. It relies on understanding relationships or transferring knowledge from known tasks to new ones.
Example: An AI trained to recognize cats and dogs can identify a horse by understanding shared characteristics, even without being trained on horse images.
ZSL is used in applications like image recognition, language translation, and text classification.