# What is Zero-Shot Learning? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Prompt Engineering  
> **Canonical Citation:** [https://spidits.com/ai-glossary/zero-shot-learning](https://spidits.com/ai-glossary/zero-shot-learning)

## Definition
Zero-Shot Learning is a machine learning task setup where a model is asked to perform a task or classify inputs without being shown any prior demonstration examples in the prompt context window, relying entirely on its general pre-trained knowledge.

## Architectural Mechanics & Deep Dive
Zero-shot learning is a model's capability to perform a task or classify items into categories that it did not see during training. In Large Language Models, zero-shot learning is implemented via natural language prompts containing instruction instructions, without providing any input-output examples.

## Industry Applications & Real-World Use Cases
Generic text categorization, zero-shot entity extraction, and prompt instructions

## Frequently Asked Questions

### How is zero-shot prompting structured?
It provides clear guidelines and the input directly (e.g., "Classify this review as Positive or Negative: [Review]").

### When should you use few-shot over zero-shot?
Few-shot prompting is preferred when the expected output format is highly structured or the task is complex.

## Related Terminology
- [few-shot-learning](https://spidits.com/ai-glossary/few-shot-learning)
- [llm](https://spidits.com/ai-glossary/llm)
- [prompt-engineering](https://spidits.com/ai-glossary/prompt-engineering)

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*From the SPIDITS AI Knowledge Base (336+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*