Zero-Shot Prompting
Definition
Prompting without examples describes a task solely by an instruction to the model.
The instruction to a pretrained model to perform a task based only on an instruction without demonstration examples in the prompt.
Simply explained
You tell the AI what to do but do not show it a pattern solution to imitate.
Why it matters in practice
The term supports companies in selecting technologies sensibly, anchoring them organizationally, and using them competently.
Example from business
A team tests a classification instruction without examples against few-shot prompts and a labeled test set.
Limits and pitfalls
- No examples in the prompt does not mean no pretraining; formulation, model, and hidden system contexts influence performance.
Origin & history
With large instruction-tuned language models, zero-shot prompting was widely used starting in 2020/2021.
Use in mid-sized companies
- Possible application: A team tests a classification instruction without examples against few-shot prompts and a labeled test set.
Frequently asked questions
What does prompting without examples mean?
The instruction to a pretrained model to perform a task based only on an instruction without demonstration examples in the prompt. What should be considered? No examples in the prompt does not mean no pretraining; formulation, model, and hidden system contexts influence performance.
Sources
- Language Models are Few-Shot Learners · Brown et al., Language Models are Few-Shot Learners
Source verified on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: