NLP (Natural Language Processing)
The field concerned with computers handling human language: understanding it, generating it, translating it. Everything from spam filters to chat assistants sits somewhere in it.
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The field concerned with computers handling human language: understanding it, generating it, translating it. Everything from spam filters to chat assistants sits somewhere in it.
Training a model on unlabelled data and letting it find structure by itself — grouping similar customers, say, without being told what the groups are.
AI that produces something new — text, images, code, audio — rather than only classifying or predicting. The generative part is why it can write an answer about your business instead of just linking to it.
A system of simple connected units, loosely inspired by the brain, that learns patterns from examples rather than following rules somebody wrote. Nearly all modern AI is built on one.
The name a browser or bot gives when it requests a page. It is how a server tells Googlebot from ChatGPT from a person, and how robots.txt rules are addressed to one and not another.
The moment an AI actually answers, as opposed to when it was trained. Training happens once and costs a fortune; inference happens every time somebody asks, and is what you pay for per use.
Markup identifying the parts of a page suitable to be read aloud by a voice assistant. Narrow in application, but it removes the guesswork about which sentence answers the question.