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他妈的
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粉红色的山雀
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他妈的
吸大鸡巴
角质母狗
小猫
吸 黑色 公鸡
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钢棒 黑发 女孩
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吸 黑色 公鸡
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钢棒 黑发 女孩
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比克迪克
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他妈的
吸大鸡巴
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吸 黑色 公鸡
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钢棒 黑发 女孩
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A片
吸鸡巴
大黑公鸡
比克迪克
粉红色的山雀
粉红色的猫
他妈的
吸大鸡巴
角质母狗
小猫
吸 黑色 公鸡
轮奸小猫
钢棒 黑发 女孩
钢棒 中国 女孩
他妈的 粉红色 猫
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吸鸡巴
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比克迪克
粉红色的山雀
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他妈的
吸大鸡巴
角质母狗
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吸 黑色 公鸡
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These capabilities also depend upon the ranking ideas and primary parameters described earlier mentioned, but in some cases acquire more issues into account to offer buyers with the very best high quality, most pertinent outcomes available. Occasionally, Bing may decide that a certain lookup question is just not like minded for these Increased lookup attributes, but will always make sure customers can find pertinent info in the blue back links. Far more aspects on these attributes are beneath.

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Evaluate  Pink team testing and anxiety-testing can surface circumstances of particular dangers, but in manufacturing end users can have different queries in Bing with unique levels of look for intent. To higher comprehend and deal with the potential for risks in Bing’s generative AI ordeals, we designed metrics to evaluate prospective risk of harmful content material becoming proven to customers. The metrics are utilized for new feature analysis being a A part of Accountable AI assessments along with ongoing monitoring for capabilities article launch. We also enabled measurement at scale by partially automated measurement pipelines. Each time the item modifications, present mitigations are updated, or new mitigations are proposed, we update our measurement pipelines to assess both equally product or service effectiveness along with the liable AI metrics. Our measurement pipelines help us to rapidly complete measurement for prospective threats at scale. As we determine new problems in the preview period of time and ongoing red workforce screening, we keep on to expand the measurement sets to evaluate further dangers. Mitigate As we discovered likely risks and misuse by way of processes like pink group tests and strain-screening and measured them Together with the ground breaking techniques described earlier mentioned, we produced additional mitigations to Individuals useful for traditional lookup. Below, we describe some of those mitigations. We will go on monitoring the generative AI encounters in Bing to improve product or service performance and mitigations. Phased release, continual evaluation. We've been committed to Mastering and improving upon our accountable AI tactic continually as our systems and consumer habits evolve. Our incremental launch approach is a core A part of how we shift our know-how safely and securely from the labs into the earth, and we’re devoted to a deliberate, considerate course of action to secure the benefits of generative AI capabilities in Bing. We're regularly generating alterations to generative AI features in Bing to further improve solution overall performance, enhance current mitigations, and put into action new mitigations in response to our learnings throughout the preview time period.

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