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Generative AI & LLMs

Deterministic output

Output designed to be as repeatable as possible when the same input is used.

Example

With sampling disabled, the same prompt and settings return the same output each time.

Why it matters

It makes comparisons and repeated checks easier by reducing variation between attempts.

You'll hear it

“We need this check to give a consistent result each time.”

Can you control it?

Sometimes

Sometimes. Some products or workflows let you influence deterministic output, while others keep it fixed or manage it automatically. Check the settings and documentation for the tool you are using.

Common questions

Does repeatable mean correct?
No. A system can return the same wrong answer every time.
Can a service update change the result?
Yes. New software, models or settings can change behavior even when the request stays the same.
Is identical wording always desirable?
No. Creative tasks may benefit from alternatives rather than the same response on every attempt.

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