Generative AI & LLMs
Large language model
LLM
A model trained on large amounts of text to understand and generate language.
Example
A chat assistant predicts and produces useful text after learning patterns from enormous text collections.
Why it matters
It lets one tool help with many kinds of writing and language work.
You'll hear it
“The language model missed the exception in that paragraph.”
Can you control it?
Set by the team
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Does a larger language model always perform better?
- No. Bigger systems can still be unsuitable, slow, costly or wrong on the tasks you need.
- Does an LLM understand words like a person?
- Convincing wording does not establish that it understands or experiences language the way a person does.
- What should I compare between LLMs?
- Compare usefulness on your tasks, recurring mistakes, speed, cost and how the service handles your information.