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How AI Inference Works: A Three-Step Process
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Knowledge Base
How AI Inference Works: A Three-Step Process

How AI Inference Works: A Three-Step Process

The inference process is a streamlined, high-speed operation:

  1. Input Data Preparation: New, raw data is received and formatted for the model. For example, a user's query is tokenized, or an image is resized and normalized.‍
  2. Model Execution (Forward Pass): The prepared data is fed into the trained model. The model performs a rapid calculation, analyzing the input against the patterns it learned during training. This is a read-only operation; the model's knowledge is fixed.‍
  3. Output Generation: The model produces a result—a prediction, a generated text, a classification, or a decision. This output is then returned to the calling application to trigger an action.