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Driving Performance at Microsoft Bing

百度 会议后,王源还与前英国首相夫人切丽·布莱尔(CherieBlair)太太亲切交谈,布莱尔太太说:很高兴中国有这样的青年,拥有如此大大的影响力,有这么多的粉丝,可以带领这么多的人致力于可持续发展的道路中。

Building fast websites is challenging, often hindered by new features and a lack of prioritization and funding for performance work. Many sites suffer as a result. This blog shares Bing's holistic model for maintaining and enhancing site performance. We hope this template, blending data, tools, teamwork, processes, and commitment, can be a valuable guide for others facing these common challenges.
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Bing delivers more contextualized search using quantized transformer inference on NVIDIA GPUs in Azure

Bing delivers more contextualized search using quantized transformer inference on NVIDIA GPUs in Azure

Transformer models that power a growing number of intelligent capabilities in Microsoft Bing have significantly increased model complexity over the last couple of years.  To ensure Bing will continue to deliver the fast, responsive, and relevant search experience our users expect, we optimized transformer inference for both latency and throughput using NVIDIA T4 GPUs in NCasT4v3 Azure VMs.  These optimizations have enabled Microsoft Bing...
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RocksDB in Microsoft Bing

RocksDB in Microsoft Bing

The Microsoft Bing platform has built one of the largest distributed storages for Bing web search data, using its home grown ObjectStore service. The system hosts hundreds of petabyte data and processes hundreds of millions lookups per sec. Open source RocksDB is used as the storage engine. Multiple techniques are applied to efficiently store and process the massive data with sub-second data freshness. This blog will present those techniques and...
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Welcome to the engineering blog

Bing and all search and recommendation experiences at Microsoft are powered by infrastructure that runs at extreme scale and speed. The platform team is a world-class engineering team with presence around the world. Our mission is to build platforms that empowers the scale and scenarios for search today.  
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Bling FIRE Tokenizer for BERT

Bling Fire Tokenizer is a blazing fast tokenizer that we use in production at Bing for our Deep Learning models. We’ve added support for the BERT-style tokenizers, available for Windows, Linux and Mac OS X.
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Connect with the Bing Search APIs team at Microsoft Inspire 2019

Connect with the Bing Search APIs team at Microsoft Inspire 2019

The Bing Search APIs team will be at Microsoft Inspire 2019, in Las Vegas, Nevada, July 14 through the 18th. If you are registered for the event, stop by the Bing Search APIs booth in the AI area to learn more about the rich Cognitive Services search features and solutions available on the Bing Search APIs platform.
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