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Bing Maps relies on accredited and publicly available location info and makes use of the identical rating parameters as outlined previously mentioned. Companies can improve the accuracy of Bing Maps final results by registering with Bing Destinations and giving current data for Bing consumers on info pertinent to that organization, for instance location, Call information and facts, and several hours.

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The initial step in setting up look for is working out which internet pages exist on-line in order to index them - commonly called crawling. At Bing, we affectionately contact our crawler “Bingbot.” Crawling is how Bingbot discovers new and updated pages and content to add to our look for index.

We regard user intent. Every time a person expresses a clear intent to accessibility precise information and facts, we provide pertinent success even If they're considerably less credible, when (as explained in more depth under) Performing in order that users usually are not misled by these kinds of search engine results.

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Evaluate  Pink team testing and anxiety-testing can surface area cases of precise threats, but in production customers can have different queries in Bing with diverse levels of lookup intent. To higher recognize and tackle the probable for challenges in Bing’s generative AI activities, we made metrics to evaluate opportunity hazard of unsafe information being revealed to buyers. The metrics are useful for new element analysis to be a A part of Responsible AI reviews and ongoing checking for capabilities article start. We also enabled measurement at scale by means of partially automated measurement pipelines. Every time the products changes, existing mitigations are current, or new mitigations are proposed, we update our measurement pipelines to evaluate the two item overall performance and the liable AI metrics. Our measurement pipelines help us to fast accomplish measurement for opportunity challenges at scale. As we recognize new problems through the preview period of time and ongoing crimson team tests, we continue on to increase the measurement sets to assess more pitfalls. Mitigate As we discovered opportunity challenges and misuse as a result of procedures like crimson team tests and anxiety-testing and measured them Using the ground breaking techniques described earlier mentioned, we produced additional mitigations to All those utilized for traditional research. Beneath, we explain a few of Those people mitigations. We'll carry on checking the generative AI encounters in Bing to improve product or service efficiency and mitigations. Phased launch, continual evaluation. We have been committed to Mastering and bettering our liable AI technique continuously as our systems and person habits evolve. Our incremental launch approach has been a core Element of how we go our technology securely within the labs into the entire world, and we’re committed to a deliberate, thoughtful system to secure the website many benefits of generative AI functions in Bing. We have been regularly building changes to generative AI characteristics in Bing to further improve solution general performance, enhance current mitigations, and carry out new mitigations in response to our learnings throughout the preview period.

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