Bing Blogs - 3

  • 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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  • AI Revolutionizes Search: Key Insights from Microsoft Accelerate

    At Microsoft Advertising Accelerate, Fabrice Canel unveiled game-changing strategies for ranking in AI search. Get highlights on the most impactful ideas and learn how AI is revolutionizing search with conversational experiences, anticipatory decision-making, and smarter indexing.
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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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  • What are my options regarding Bing Maps for Enterprise Retirement?

    Bing Maps for Enterprise will be retired on June 30, 2028. Existing Bing Maps for Enterprise customers can continue to license Bing Maps for Enterprise APIs and services until June 30, 2028. Customers on the free and basic license for Bing Maps for Enterprise have until June 30, 2025.
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  • Introducing Radar the Elf

    NORAD is once again set to track Santa with the help of Microsoft Bing Maps and an AI elf named Radar. You can ask Radar anything you want to know about Santa and NORAD
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  • Bringing more magic to Bing Image Creator

    Today, we’re bringing a series of enhancements to Bing Image Creator so you can experience the magic of creation like never before. Read more below or visit Bing.com/create to get started.  
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  • Bing's Transition to LLM/SLM Models: Optimizing Search with TensorRT-LLM

    At Bing, we are always pushing the boundaries of search technology. Leveraging both Large Language Models (LLMs) and Small Language Models (SLMs) marks a significant milestone in enhancing our search capabilities. One of the key challenges with larger models is managing latency and cost. To address this, we have integrated Nvidia TensorRT-LLM technique into our workflow to optimize our SLM inference performance.  
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