Zero-Shot, One-Shot, and Few-Shot Learning

These terms describe how much prior example input a model receives for a task:

• Zero-Shot: The model is asked to perform a task with no examples ("Summarize this article").
• One-Shot: You show one example of what you want.
• Few-Shot: You give multiple examples to teach the model the right format or tone.

This flexibility makes large language models adaptable to almost any task with minimal training.