Model Training & Adaptation
Classification (machine learning)
An AI task that puts something into one or more groups.
Example
An AI system labels a message as spam or legitimate.
Why people use it
It sorts information into useful groups so the next step can be handled more easily.
What you'll hear
“Should this message go to billing or support?”
What this means for you
Check the categories and the costs of confusing them.
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
- Can one record belong to several groups?
- Yes. Some systems allow multiple labels, such as marking a message as both urgent and billing-related.
- Can one item receive several labels?
- Yes. Some systems allow several labels, while others must choose just one.
- What happens when none of the categories fits?
- The system may choose a poor match unless it has a way to flag an uncertain or unfamiliar case.