Microsoft Bing Search Teams Share Insights On Quicker and More Accurate Search Results Through SLM Models

The Bing Search team is sharing its insights on how it made the company’s Search and Deep Search much more reliable and accurate, not to mention faster.

The company shed light on the transition to SLM models as well as integration to TensorRT-LLM. As per the company’s latest blog post, their goal was to better efficiency by training on the SLM models that can comprehend search questions quicker and process them more precisely.

As per Bing, the benefits are what make the company’s search overall so much better with new core benefits for all to take advantage of. For starters, it’s quicker search results with optimized inferences, better accuracy that delivers accurate responses, and even fewer costs linked to running and hosting big models.

For now, Microsoft shared how it will continue to make the biggest investments in this front that not only ensure more improvements but also give rise to more innovative technology. This will help Bing remain at the center of search tech.

This is important because faster searches also come with more accurate search experiences. This will assist Bing be a more trusted member and useful to the entire search community. It might also give rise to more searches taking on Bing Search in future dates and help grab a bigger share from tech giants like Google.

Image: DIW-Aigen

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