Technology
What is a large language model?
A large language model (LLM) is an AI system trained on vast amounts of text to predict and generate human-like language. By learning statistical patterns across billions of sentences, it can answer questions, write, translate, and converse — the technology behind chatbots like this one.
See it, don’t just read it.
Watch a 2-minute lesson with voice + animation that explains a large language model.
Key things to understand
- 1It's an AI trained on huge amounts of text.
- 2It learns patterns of language by predicting the next word.
- 3It can write, summarize, translate, code, and answer questions.
- 4It doesn't 'understand' like a human — it models statistical patterns.
- 5Examples include the models behind ChatGPT, Claude, and Gemini.
Frequently asked questions
- How does a large language model work?
- It's trained to predict the next word in text; across billions of examples it learns grammar, facts, and reasoning patterns it can then generate.
- Does an LLM actually understand language?
- Not like a human — it has no consciousness; it produces fluent text by modeling statistical patterns, which can still be remarkably capable.
- Why do LLMs sometimes make things up?
- They generate the most plausible-sounding text, not verified facts, so they can confidently state errors — called 'hallucinations.'