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Dictionary

Zero-Shot Prompting

Asking a model to do a task with no examples in the prompt.

1 min readupdated 2026-07-04

/ quick answer

Zero-shot relies purely on the model's pretraining. Cheap and simple; struggles on formatting-sensitive or domain-specific tasks compared to few-shot. Asking a model to do a task with no examples in the prompt.

Asking a model to do a task with no examples in the prompt. Zero-shot relies purely on the model's pretraining. Cheap and simple; struggles on formatting-sensitive or domain-specific tasks compared to few-shot. In practice: 'Classify this ticket as bug/feature/question.' — no examples given. This dictionary node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Definition
Zero-shot relies purely on the model's pretraining. Cheap and simple; struggles on formatting-sensitive or domain-specific tasks compared to few-shot.
Example
'Classify this ticket as bug/feature/question.' — no examples given.
/ frequently asked

What is Zero-Shot Prompting?

Zero-shot relies purely on the model's pretraining. Cheap and simple; struggles on formatting-sensitive or domain-specific tasks compared to few-shot.

What is an example of Zero-Shot Prompting?

'Classify this ticket as bug/feature/question.' — no examples given.

Why does Zero-Shot Prompting matter for AI and automation?

Asking a model to do a task with no examples in the prompt. It connects to the workflows, prompts and tool stacks linked on this page, so you can move from definition to execution without leaving Onexial.