Quality-vs-cost tradeoff
The explicit choice when optimizing ML spend, such as routing queries to a cheaper model like Haiku instead of Opus, to accept some risk of quality loss for large cost reduction, mitigated by classifier accuracy, confidence thresholds, and monitoring.
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