QuestionQ62Verified/AI Life Cycle Risk ManagementCopy linkReport a problemAsk AstroTutorSave questionWhich of the following is the PRIMARY reason for lowering an AI model’s temperature?ATo mitigate the risk of persistent bias in responses to usersBTo enhance consistency and accuracy of model outputsCTo diversify ideas and recommendations generated by the modelDTo reduce energy consumption and environmental impactShow AnswerAnswerExplanationA lower temperature reduces randomness in token selection, producing more deterministic, consistent outputs and often improving reliability for accuracy-sensitive tasks.Show comments0Show commentsCommunity DiscussionNo comments yet. Be the first to start the discussion!
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