Inference
Models“IN-fer-ens”
Inference is when an AI uses what it has already learned to answer a question, make a prediction, or complete a task.
Lesson #1: AI Foundations & the Agent Era →Studying for a test is training. Taking the test is inference.
A weather app looks at today's weather data and predicts there's an 80% chance of rain tomorrow.
An AI reviews project photos, schedules, weather, and crew availability to estimate when a remodeling project will be completed.
A bank's AI reviews information from a loan application and helps determine whether the applicant qualifies for financing.
Training builds the AI's knowledge. Inference is when that knowledge is put to work. Without inference, AI is simply information that never gets used.
Inference is the moment AI turns knowledge into action.
Open your weather app and look at tomorrow's forecast — you just watched an inference happen. Name two more inferences you saw today.
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