LLM (Large Language Model)
The kind of AI behind ChatGPT, Claude and Gemini. It is trained on an enormous amount of text and predicts what should come next, which is enough to answer questions, summarise, translate and write.
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The kind of AI behind ChatGPT, Claude and Gemini. It is trained on an enormous amount of text and predicts what should come next, which is enough to answer questions, summarise, translate and write.
When an assistant names your website as the source of something it said, usually with a link. A citation is the AI-era equivalent of a first-page ranking — it is the thing worth competing for.
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.
A working model of something real — a building, a supply chain — kept in step with it using live data, so changes can be tested before they are made for real.
Markup for ratings and reviews, including who wrote them. It feeds the star ratings in search results, and gives an assistant something concrete to cite about your reputation.
How well a system can show why it reached a decision. It matters most where the decision affects somebody — a loan, a diagnosis, a job application — and “the model said so” is not an answer.
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.