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Technical implementation · AI Search Infrastructure

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Definition

Inference is the process by which a trained AI model generates a response to a new input — applying the patterns, associations, and knowledge encoded during training to produce an output it has never seen before. Inference is what happens every time someone asks ChatGPT or Perplexity a question. The model does not look up a stored answer — it generates one in real time, drawing on both its training data and any retrieved content. For brands, understanding inference means understanding that AI responses are probabilistic, not deterministic. The model will generate what it is most confident is true — which means the more consistent, structured, and widely-referenced the information about a brand is, the more accurately inference will represent it.

Training corpus

RAG

Foundation model

Hallucination

Grounding

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