A community-kitchen rental tester needs yesterday’s GenAI data pack again to compare two prompt versions fairly. Which control reuses the same pseudo-random sampling sequence in implementations that support it?
Select an answer to reveal the explanation.
Short Explanation
A random seed is like hitting “replay” on a shuffled deck that already played once. When the implementation supports it, the same pseudo-random sequence comes back. That helps fair prompt comparisons without pretending the model became a rule engine.
Full Explanation
Some LLM implementations expose a seed that reuses a deterministic random sequence for sampling. Testers use it when they need comparable runs across prompt versions. It improves reproducibility of the sampling path but does not eliminate all drift or replace output verification. Temperature still governs how random sampling behaves; seed governs whether that randomness can be repeated.