Training Data

A model's baseline knowledge comes from the data it was trained on, vast amounts of publicly available web text and more. Whatever is well-represented and consistent in that corpus becomes part of what the model can recall unaided, which is why a brand's public footprint directly influences how AI describes it.

Because training data is fixed at a point in time and refreshed only periodically, models can hold outdated or incomplete views of a brand until retrieval fills the gap. This is why consistent, accurate, widespread information matters: it improves both what the model learned and what retrieval can confirm.

DeepLexa helps you shape the signals that end up in training data and retrieval alike, consistent entity facts and authoritative mentions across the web.