Calibration
Category: Fundamentals“kal-ih-BRAY-shun”
Adjusting an AI system so its answers become more accurate and reliable.
Lesson #1: AI Foundations & the Agent Era →Adjusting a tape measure to make sure every measurement is correct.
A bathroom scale you adjust to zero before stepping on.
Improving an AI estimator after comparing it with real project costs.
Tuning a sales-forecast AI after comparing its predictions to actual quarterly results.
An uncalibrated AI is confidently wrong — calibration is what makes AI trustworthy.
Calibration is tuning AI against reality until you can trust it.
Compare an estimate (yours or an AI's) to the real result of one recent job. How far off was it? That gap is what calibration shrinks.
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Related terms
Picked automatically from the same category and the ideas this term shares.
Hand-picked pair
A list of steps that tells a computer how to solve a problem.
Hand-picked pair
The AI's brain that has learned from lots of information.
Hand-picked pair
Inference is when an AI uses what it has already learned to answer a question, make a prediction, or complete a task.
Same category: Fundamentals
Testing an AI against known-good examples to measure how often it gets things right before you trust it.
Same category: Fundamentals
When an AI confidently gives an answer that is simply made up.
Same category: Fundamentals
How well an AI can show you the reasons behind an answer, in words a person can follow.