Zero-Shot Learning

The ability of a model to perform a task it has never explicitly been trained on, with no examples provided at inference time. Large language models exhibit impressive zero-shot capabilities, you can ask them to perform tasks simply by describing what you want, without any demonstrations, though performance is generally better with at least a few examples.
See also: few-shot learning, in-context learning.