A county deed-recording pair sees two GenAI runs diverge and debates whether to change temperature or set a seed. How do these two mitigations differ?
Select an answer to reveal the explanation.
Short Explanation
Temperature is how wild the shuffle feels; a seed is whether you can replay that shuffle. One shapes the amount of randomness. The other shapes whether you can see the same random path again.
Full Explanation
Temperature adjusts the randomness of sampling and therefore the diversity versus stability of outputs. A seed, when available, makes a chosen sampling sequence repeatable for fair comparisons. Confusing the two leads teams to twist the wrong knob after divergent runs. Neither fully guarantees complete reproducibility without verification.