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.
Tools that claim to identify AI-written text. Unreliable in both directions, and worth knowing about mainly because somebody may point one at your content and draw a confident wrong conclusion.
An AI that handles more than one kind of input — text and images together, say, or audio and video. It is why you can now photograph a menu and ask an assistant what is in a dish.
The model architecture behind almost every modern AI system, introduced in 2017. Its trick is paying attention to how every word in a passage relates to every other, which is what made fluent machine writing possible.
Giving an AI real source material to answer from, instead of letting it rely on memory. A grounded answer can be checked and cited; an ungrounded one is where hallucinations come from.
A map of things and how they relate — this company, its founder, its address, its services. Search engines and AI systems use one to know that two mentions of a name refer to the same business.
Optimising to be recognised as a specific, real thing rather than for particular keywords. In practice it means consistent naming, structured data, and being mentioned in enough other places to be corroborated.