Generative AI & LLMs
Model nondeterminism
An AI giving different results when the same request is repeated under apparently identical conditions.
Example
An assistant writes slightly different drafts from the same request.
Why people use it
It explains why repeating a request may not produce identical results.
What you'll hear
“Why did the same question get different replies?”
What this means for you
Try repeated requests when consistency matters and record the settings used.
Can you control it?
No
No direct control. This describes a wider issue, concept or result rather than something you can simply switch on or off in a tool.
Common questions
- Does setting a low temperature always guarantee identical results?
- No. Other implementation and execution factors can still affect reproducibility.
- Does a different reply always mean the facts changed?
- No. The wording or selection process can change while the basic information stays the same.
- Can it complicate comparing two versions?
- Yes. Several trials may be needed to separate ordinary variation from a real difference.