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M icrosoft has announced that it is open-sourcing a crucial AI tool behind its Bing search engine. This tool enables Bing to quickly return relevant search results to user queries.[br][br][br]
[br][br]The company has open-sourced its AI algorithm called Space Partition Tree And Graph (SPTAG) that can parse data more efficiently.[br][br]Earlier, performing a web search was simple. Users typed a few words and went through pages of results. In the present day, with the advent of techs like Google Lens and Bing Visual Search , users can take a picture instead and drop it into a search box to get search results.[br][br]Or other times, they use an AI assistant to ask a question and have them reply without physically touching a device at all. Many users simply type a question and expect an actual reply and not a list of pages with probable answers.[br][br]This is where the Space Partition Tree And Graph steps in.[br][br]Microsoft explains in its blog post that the SPTAG helps developers in sifting through the data through vectors (mathematical representations of words, image pixels, and other data points) in milliseconds.[br][br]For the uninitiated, SPTAG is written in C++ language and is at the core of the open-source Python library. It is the most important pillar for a number of Bing Search services and Microsoft says that it helps the company “better understand the intent” behind the millions of web searches performed each day.[br]For instance, typing “How tall is the tower in Paris?” in Bing gives you the right answer — 1,063 feet — even though you never mentioned the word “Eiffel” in the question and “tall” never appears in the result.[br][br]The aim behind making this technology available to all is to help developers create a similar experience for users when they search on other platforms where there are huge amounts of data such as retail.[br][br]Source : fossbytes.com |
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