Model Training & Adaptation
Few-shot learning
Learning a task or new group from very few examples.
Example
An AI system adapts to recognizing a product category from a handful of labeled images.
Why people use it
It helps AI adapt when only a small number of teaching examples are available.
What you'll hear
“Can it learn this category from a few examples?”
What this means for you
Check whether examples change the AI's learning permanently or guide only the current request.
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
- Does seeing a few examples always change the AI permanently?
- No. Some systems use examples only for the current request; others are actually trained on them.
- Does 'few' mean one fixed number?
- No. The number depends on the task and the way the term is being used.
- Why does example quality matter so much?
- With very few examples, a mistake or unusual case can have a large influence.