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Posted: Sun Dec 22, 2024 4:31 am
by tanjilaakter0011
We’ve known for a few months that both Bing and Google are using these advanced algorithms to provide better search results, especially for longer queries.

Today, we can say that Bing's implementation of BERT to improve its search results precedes Google's announcement of BERT by six months , and Bing claims that this has led to further improvements in search quality over the past year.

How Bing BERT Works
“Unlike previous deep neural network (DNN) architectures that processed words individually in order, the new transformer models understand the context and relationship between each word and all the malaysia number whatsapp words surrounding it in a sentence.”

According to Jeffrey Zhu , program manager at Bing Platform, who adds that “starting in April of this year, we have been using large transformer models to provide our customers with further quality improvements compared to last year”.

BERT builds on the deep learning capabilities used in Bing’s intelligent search features, such as intelligent answers that draw on multiple sources, intelligent image search with object recognition, and hover-over definitions for uncommon words.

These improvements could help Bing maintain or increase its search market share, which will continue to make it a viable platform for both organic and paid campaigns.

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Microsoft implemented the transformer models using Azure N-series Virtual Machines with GPU accelerators and then performed further optimizations to perform parallel computation at web-search scale.

[via searchengineland.com ]

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Last updated: November 29, 19
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Written by Antonio Papini
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