An LLM generates text using patterns learned during training and the context provided at use time. Products built around it can add tools, search, file handling and other features.
A practical example
A chat assistant may use an LLM to draft an email. A separate search tool can retrieve web pages that the model then summarizes.
What to remember
The model and the surrounding product are different things. Access to a feature in one application does not mean every product using the model includes it.
Put it into practice
Use the answer-checking guide to keep evidence and uncertainty visible when working with AI.