Definition · foundations
large language model (LLM)
large language model (LLM) is an AI model trained on vast amounts of text to understand and generate language. You can spot large language model (LLM) in practice when the record shows what the system observes, what choice it makes, and what changes next, without asking the reader to guess or trust a slogan.
157 definitions656 sourced recordsNamed source: Stanford HAI
Why does large language model (LLM) matter?
The model supplies language and pattern judgment, but the surrounding system supplies tools, state, permissions, and action. For large language model (LLM), start with three checks: What can the system observe? What choice can it make? What changes after it acts? The answers should point to visible evidence, not a promise.
What does large language model (LLM) look like?
A language model drafts a contract summary while application code retrieves the contract and stores the result. This example makes large language model (LLM) visible by naming the actor, the action, and the result in practice. It is an illustration for readers, not a claim that every product behaves this way.
What is large language model (LLM) easy to confuse with?
A large language model is a model. An AI agent is a system that observes and acts, often using a model. The closest entries here are judge model, least privilege, chain of thought. Compare their definitions with large language model (LLM) before using the names as if they mean the same thing.
How certain is this definition?
This definition is marked source checked because Stanford HAI supports its main points. The date shows when we last read that source. If you are making a purchase, policy, safety, or design decision, open the source first and make sure its limits fit the decision in front of you.
Who introduced the term large language model (LLM)?
The source shows how large language model (LLM) is used, but it does not prove who said it first. We name an origin only when a dated, direct record supports it. If that record is missing, we leave the question open instead of repeating a popular story as fact.
What should you understand before large language model (LLM)?
Read artificial intelligence (AI) first when large language model (LLM) depends on a more basic idea or mechanism. The link gives you a useful route through the glossary. It does not mean every author teaches the subject in this order, so follow the source when the sequence matters.
What should this term help you answer?
Use large language model (LLM) to ask what an agent can observe, decide, change, remember, or hand off. The questions below turn the definition into a practical check. They are prompts for your own work, not claims made by the source, so change them to fit the system you are examining.
- What can the system observe?
- What choice can it make?
- What changes after it acts?
Which source supports this definition of large language model (LLM)?
Stanford HAI supports this working definition of large language model (LLM). We checked the link on 2026-07-12. Open the original record for its context, methods, limits, and publication details. The short explanation here is a guide to large language model (LLM); the linked source remains the evidence to inspect when the wording or boundary matters.
direct supportlarge language model (LLM)Checked 2026-07-12→