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Glossary · Plain-English definitions

Large language model

In one sentence: A large language model, usually shortened to LLM, is software trained on an enormous volume of text to predict which words come next, which is what lets chatbots and AI search results answer plain-English questions in fluent sentences.

A prediction machine, not a filing cabinet

Your phone suggests the next word while you text. A large language model runs the same trick at a scale that is hard to picture: it read an enormous amount of writing, learned which words tend to follow which, and can now continue almost any sentence in a way that sounds right.

That is the whole mechanism. Ask it what a soffit is and it does not open a reference book and copy out the entry. It produces the words that a correct answer about soffits usually contains. Most of the time that lands on the truth, because true writing is most of what it read.

Most of the time is not all of the time, and this is the part owners need to hold onto. The model has no sense of its own certainty. The sentence it invented and the sentence it half remembers arrive in the same calm voice. It can hand you a contractor license number that belongs to nobody and sound exactly as confident as when it hands you the right one.

The word large is doing real work in the name. The training text runs past what any person could read in a lifetime, which is why the same program can discuss roof flashing and mortgage escrow in the same minute, and why nobody, including the people who built it, can point to the exact reason it chose one sentence over another.

What a model has to work with when someone asks about you

A model learned from writing that already existed. If the text about your company online is thin, years out of date, or scattered across listings that disagree with each other, that is the raw material in play when a customer asks which company to call in your town.

It will rarely tell you it does not have enough to go on. It will answer with whatever pattern fits, which might be a competitor with a well-written site, or a description of you that is two rebrands old.

So the useful move is unglamorous: put clear, current, specific writing about your services and your service area where it can be read, and make your listings say the same thing your site says. Our plain-English guide to AI search walks through what that looks like page by page.

One tradeoff worth naming, because it cuts the other way. A model is not the right tool for every job on a website. When a Marco Island boat-tour company needed a chat concierge that answers guest questions across roughly 500 pages, we scripted it with owner-approved answers only. A stiff answer about departure times costs a lot less than a confident wrong one.

Words you will see used alongside it

The writing a model learned from is its training data, and it stops at a cutoff date, so a model by itself has no idea what changed last week. When it states something false with a straight face, that is an AI hallucination. When a system searches for live pages first and writes the answer out of what it found, that is retrieval-augmented generation, which is how most AI answers about local businesses actually get built.

Related questions

Does a large language model know my current hours?

By itself, no. It works from text it trained on, which has a cutoff and no live line to your listing. When an AI answer gets your hours right, it is almost always because the system fetched a current page or profile before writing. Keeping those accurate matters far more than anything you could say to the model directly.

Is every AI answer written by one of these?

The wording usually is. The facts often are not. Treat the model as the part that phrases the answer and the search step in front of it as the part that decides which businesses get named, because the second one is the part your website can influence.

Related terms and guides

What is AIO? A plain-English guide · Training data · AI hallucination · Retrieval-augmented generation · Context window · All glossary terms · Plain-English answers · AI search optimization services

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