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๐Ÿ“š What is an LLM?

A Large Language Model โ€” the 'next-word predictor' behind ChatGPT and friends.

2 min read

LLM stands for 'Large Language Model'. It's the specific kind of AI behind ChatGPT, Claude, Gemini and the rest. 'Language' because it works on text. 'Model' because it's a neural network that learned patterns. 'Large' because it has billions of parameters โ€” the dials it tunes during training.

The 'large' part matters more than it sounds. When a model gets big enough, and is trained on enough text, it starts to do things nobody explicitly taught it: follow instructions, reason through a problem, write code, translate. These 'emergent' abilities are why a big language model feels different from a small one.

At its core, an LLM is still the next-word predictor. Give it text and it predicts what comes next โ€” but at 'large' scale, that simple trick compounds into something that can hold a conversation, summarise a document, or help you brainstorm.

So when someone says 'LLM', they mean: a big text-prediction model that's been trained on a huge amount of language and is therefore good at producing useful text. The product you chat with โ€” ChatGPT โ€” is an LLM plus a lot of product wrapping around it.

๐Ÿ•’ Try it in 60 seconds

  1. 1Ask an AI: 'What LLM are you running on, and roughly how large is it?'
  2. 2Then ask: 'What can a large language model do that a small one can't?'
  3. 3Notice how 'scale' is the secret ingredient.

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