๐ 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.
๐ Try it in 60 seconds
- 1Ask an AI: 'What LLM are you running on, and roughly how large is it?'
- 2Then ask: 'What can a large language model do that a small one can't?'
- 3Notice how 'scale' is the secret ingredient.
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