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Bing Search Blog

  • 👁 Microsoft Open-Sources Industry-Leading Embedding Model

    Harrier is a new embedding model series designed for the demands of modern AI systems. It is our latest open-source text embedding model series, delivering state-of-the-art performance and ranking 1st on the multilingual MTEB-v2 benchmark. This result reflects Microsoft’s sustained commitment to improve grounding quality through advances in embedding models.
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  • 👁 Elevating the Role of Grounding on the AI Web

    At Microsoft, we’ve been steadily advancing grounding technology for a while, building on decades of operating large‑scale search and information systems through Bing and focusing on scale, reliability, and trust. And today, Microsoft grounding powers nearly every major AI assistant in the market. While much of our work happens behind the scenes, it plays an essential and profound ...
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  • 👁 Introducing the New Bing Places for Business: Built for Business Owners, Powered by Research

    Today, we are excited to announce the launch of the new Bing Places for Business experience —an evolution shaped by deep user research, thoughtful design, and a commitment to help business owners thrive in local search. Bing Places for Business is a free online platform where businesses can create and manage their listings to appear in Bing search results and Bing Maps, making them more visible to potential customers.
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  • 👁 Introducing Copilot Search in Bing

    Today we’re excited to introduce Copilot Search in Bing. Copilot Search seamlessly blends the best of traditional and generative search together to help you find what you need – and meet you where you’re at in your discovery journey. All while supporting and building a healthy web ecosystem.
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  • 👁 Introducing "Grounding with Bing Search" in Azure AI Agent Service

    In the ever-evolving landscape of artificial intelligence, staying current is paramount. We recently launched the "Grounding with Bing Search" knowledge tool as part of Azure AI Agent Service, and we're excited to offer developers a powerful new capability that bridges the gap between the temporal limitations of large language models (LLMs) and the dynamic, real-time data available on the web.
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