Model Training & Adaptation
Zero-shot learning
AI handling a task or recognizing a group without having been taught labeled examples of that specific target.
Example
An AI system recognizes a new category using its description.
Why people use it
It lets AI attempt unfamiliar categories using prior knowledge or descriptions.
What you'll hear
“Can it recognize this category without labeled examples of it?”
What this means for you
Check what prior knowledge and auxiliary information the AI system used.
Can you control it?
Developer-only
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Is zero-shot learning identical to giving a prompt without examples?
- No. Zero-shot prompting is a prompting setup; zero-shot learning is a broader capability setting.
- Does zero-shot mean it has never learned anything relevant?
- No. It usually relies on earlier learning or information connecting the new task with familiar concepts.
- Can a more helpful description improve the result?
- It can, when the method uses descriptions to understand the new category.