微软近日在其Copilot功能上推出了一项创新升级，用户现在可以简单地通过拖拽文件来向AI助手提问。这一新特性进一步提升了Copilot的实用性，使得用户在处理大量信息时能更加高效。在以往，Copilot已经能够分析OneDrive上的文件并提供相关问题的答案，而现在，这一功能得到了扩展，用户只需将文件直接拖入Copilot的聊天界面，AI就能即时读取并理解文件内容。
这一升级使得用户在面对复杂文档时，能够迅速获取关键信息或特定数据。例如，用户可以要求Copilot总结文档的主要观点，查找特定的数据点，甚至寻求与文件主题相关联的额外信息。这无疑将大大提高工作效率，尤其对于需要处理大量报告和研究的职场人士来说，是一项极为便利的工具。
然而，值得注意的是，目前这一拖拽文件提问的功能似乎尚未对所有用户开放，可能仍处于测试阶段。微软的这一举措再次展示了其在人工智能领域的创新力度，预示着未来AI助手将更加深入地融入人们的日常工作流程中。随着技术的不断发展，我们有理由期待Copilot等AI工具将带来更为智能和个性化的用户体验。
英语如下：
News Title: “Microsoft Copilot’s New Trick: Drag-and-Drop File Queries, AI Assistant Simplifies Document Understanding”
Keywords: Microsoft Copilot, File Q&A, AI Assistant
News Content: Microsoft has recently introduced an innovative upgrade to its Copilot feature, allowing users to simply drag and drop files to ask questions of the AI assistant. This new functionality enhances Copilot’s实用性, enabling users to manage an abundance of information more efficiently. Previously, Copilot could analyze files on OneDrive and provide answers to related questions. Now, this capability has been extended, as users can directly drag files into Copilot’s chat interface for instant AI-driven content reading and understanding.
This upgrade empowers users to swiftly extract key information or specific data points from complex documents. For instance, users can ask Copilot to summarize a document’s main points, locate particular data, or even seek additional information related to the file’s subject matter. This undoubtedly boosts productivity, especially for professionals handling numerous reports and research materials.
However, it’s worth noting that the drag-and-drop file querying feature appears not to be universally available yet, suggesting it might still be in a testing phase. Microsoft’s move underscores its commitment to innovation in artificial intelligence and foreshadows a deeper integration of AI assistants into everyday work processes. As technology continues to evolve, there are grounds to anticipate that AI tools like Copilot will deliver even more intelligent and personalized user experiences.
【来源】https://www.ithome.com/0/753/522.htm
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