Generative AI & LLMs
Question answering
Using AI to answer questions from information it is given or has learned.
Example
A user asks which date appears in a provided policy.
Why people use it
It lets people ask for a particular fact without reading all the available material.
What you'll hear
“Which date does the policy give?”
What this means for you
Ask what evidence the answer used and check consequential details.
Can you control it?
Sometimes
Sometimes. Your choices depend on the tool and your access. The settings available to an everyday user may differ from those available to the people running it.
Common questions
- Is every answer backed by a retrieved source?
- No. Some systems answer directly from AI system behavior without consulting documents.
- Should it answer when the material says nothing about the question?
- It should make the missing information clear instead of inventing an answer.
- Can a question contain a mistaken assumption?
- Yes. A good answer may need to correct the assumption before responding.