Model Training & Adaptation
Student model
A model trained to reproduce useful behavior from a teacher model.
Example
A compact student model learns from a larger teacher and runs on a phone.
Why it matters
It makes a selected ability practical on less powerful or lower-cost equipment.
You'll hear it
“The student fits on the device, but its answers need their own checks.”
Can you control it?
Set by the team
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 a student ever outperform its teacher on a narrow task?
- It can, depending on additional examples, adaptation and how performance is measured.
- Does student mean it keeps learning during everyday use?
- No. The name describes its role during learning, not continuous updating.
- Must it use the same design as the teacher?
- No. Different designs can be used if the learning method supports the transfer.