Gen AI Leader Techniques to improve gen AI model output MEDIUM
PRODUCTION SCENARIO
A compliance team uses Gemini to pull policy numbers and effective dates out of letters. Two runs on the same letter sometimes return different dates, and the team wants the most consistent output it can get.

Which parameter change should the team try first?

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Answer: Lower the temperature so the likeliest tokens are picked on each run

Temperature controls how randomly the next token is chosen; lower values suit tasks that need a less open-ended answer, and at a temperature of 0 the highest-probability token is selected, so responses are close to deterministic. Maximum output tokens and stop sequences decide where generation ends rather than how it is sampled, and raising top-K widens the candidate pool, adding variation instead of removing it.
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