What's an LLM? The model behind ChatGPT, Claude and Gemini

Almost every AI tool you are offered uses one. Often it is the same one, resold at different prices.

AIR Editorial Team
What does LLM mean and why do all AI tools use one?LLM stands for Large Language Model: an AI model trained on huge amounts of text, able to understand and generate language 1, 2. It is the engine behind ChatGPT, Claude and Gemini, and behind most AI tools for businesses.

An LLM (Large Language Model) is an artificial intelligence model trained on huge amounts of text, able to understand and generate language 1, 2.

OpenAI's GPT, Anthropic's Claude and Google's Gemini are families of LLMs. ChatGPT, the Claude app and the Gemini app are the products built on top of them.

How it works, without formulas

During training, the model reads more text than any person could read in a lifetime, and learns how words tend to follow one another. When you write to it, it produces the answer one piece at a time, each time choosing the most plausible continuation.

This is where its strength comes from (it writes, summarises, translates, reasons about a text) and also its limit: plausible does not mean true. An LLM that has no access to your price lists can make up a price with the same confidence with which it writes an email.

Why it matters to you

Many AI tools for businesses have no model of their own: they use an LLM from one of the big producers and build an interface on top of it. This is not a flaw, it is the normal way of working. But it means two things.

The first: when you compare two suppliers, ask which LLM they use. Two products with very different prices can have the same engine.

The second: the quality of a tool depends less on the model and more on how it is connected to your data. An LLM that reads your manuals and your catalogue answers better than a more powerful one that has never seen them.

Frequently asked questions

Is ChatGPT an LLM?

ChatGPT is a product that uses OpenAI's LLMs. The model is the engine, the app is the bodywork.

Does an LLM know things or make them up?

It generates the most plausible text based on what it has learned. Often it is correct, sometimes it makes things up with confidence: for data that matters, it needs to be connected to verified sources, such as your own documents.

Read next

Want to know which model is really inside the tool you are being offered? Let's talk.

Sources

  1. Wikipedia, Modello linguistico di grandi dimensioni, https://it.wikipedia.org/wiki/Modello_linguistico_di_grandi_dimensioni
  2. IBM, What are large language models, https://www.ibm.com/think/topics/large-language-models

Text created with the support of AI. Method and content are AIR's.

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