Model Training & Adaptation
Logit
An AI's raw score before it is converted into an estimated chance or used to select an answer.
Example
A writing AI gives possible next pieces of text raw scores.
Why people use it
It names the raw scores a system uses before choosing or assigning probabilities.
What you'll hear
“These are raw scores, not percentages.”
What this means for you
Avoid presenting these scores directly as percentages.
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 the highest score guarantee that choice is correct?
- No. It shows which option the system favors, not whether that option agrees with reality.
- Can logits be negative?
- Yes. A negative raw score is possible and does not mean a negative probability.
- Does the gap between scores matter?
- Yes. The relative scores help determine how strongly the system favors one choice over another.