The 0.85 threshold is a starting point, not a fixed value. In collections with many legitimate document updates (versioned policies, amended procedures), it needs tuning upward to reduce false positives. The right approach is to baseline your collection’s normal similarity distribution first, then set the threshold at mean + 2 standard deviations. Without baseline profiling, any threshold is a guess.
Now, Tinder announces that these features are (unsurprisingly) getting an AI-powered upgrade. "Are You Sure?" is "being fine-tuned to more accurately detect harm," according to Tinder, while "Does This Bother You?" will soon auto-blur potentially disrespectful messages.。关于这个话题，币安 binance提供了深入分析
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The NYT Connections puzzle today is not too difficult if you're a math whiz.