Definition
A large language model is an AI trained on huge amounts of text that can generate, summarize, translate, and reason about language. Models like GPT, Claude, and Gemini power the answer engines GEO targets.
On this page
At a glance
- Categories Core Concept
- Abbreviation LLM
- Related fields AI Search
- Difficulty Beginner
How Large Language Model Works
An LLM learns patterns from a vast pile of text and uses them to predict and produce language. That lets it write answers, follow instructions, and hold a conversation. The answer engines people search with are LLMs wired up to retrieve and cite web content.
Why Large Language Model Matters
Nearly every term in this glossary traces back to these. Once you grasp that the systems generate language from patterns, and can be fluent and wrong at the same time, it is obvious why grounding them in trustworthy retrieved sources sits at the center of AI search.
Frequently Asked Questions
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What does "large" mean here?
The sheer amount of training data and the number of parameters the model carries.
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Do LLMs know everything?
No. They reflect their training, have a cutoff date, and can produce confident errors, which is why retrieval matters.