Training Data
The text, images or code a model learned from. It shapes everything the model knows and every bias it carries, and it is why what your website said two years ago may still be what an assistant repeats.
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The text, images or code a model learned from. It shapes everything the model knows and every bias it carries, and it is why what your website said two years ago may still be what an assistant repeats.
Anthropic’s crawler, which reads public pages for Claude. Like the others it identifies itself and follows robots.txt.
Markup for an item you sell: name, price, currency, availability, condition. Without it an assistant reading your shop has to guess the price from the page, and sometimes guesses wrong.
AI that interprets images and video — reading a document, recognising a product, counting people. The part of AI that has been quietly working in industry for years.
Organization markup with the details a local search needs — address, opening hours, service area, price range. What lets an assistant answer “is there one near me, and are they open now?”
Searching by asking a full question, often as a follow-up to a previous one, the way you would ask a person. It favours pages that answer plainly over pages stuffed with keywords.
When a system produces unfair results because its training data reflected an unfair world. It matters commercially as well as ethically: a biased model makes confidently wrong decisions about real people.