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The Model Context Protocol (MCP) is a groundbreaking open standard designed to create seamless connections between AI agents, copilots, and external systems, tools, and data sources.Think of MCP as the "universal adapter" for AI. Instead of requir...
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Discover how to create a birthday party planner using Copilot Studio and Microsoft Open AI in this blog. Learn to streamline party planning with AI-driven tools, from generating creative ideas to managing logistics, making your celebrations unfor...
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Model Context Protocol (MCP) represents a new standard for building secure and scalable AI extensions. In this blog, we explore how MCP enables developers to build modular, plug-and-play capabilities that Copilot Studio agents can invoke, making t...
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When we build automation, the system design becomes complex if you want to process data or if the automation we are trying to systematically solve needs more control from monitoring or the endpoint where the user can interact. The complexity arise...
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Open-source Large Language Models (LLMs) have become popular for building AI-driven solutions due to their flexibility and cost-effectiveness. Integrating these LLMs in Microsoft Copilot Studio can be a game-changer, helping developers enhance the...
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In this article, we will learn how to control the answers given by Copilot using Generative AI. We'll go over ways to customize and improve the answers, so they fit what you need. By using Generative AI, you can guide the responses to match your g...
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When working with enterprise data, having a Co-pilot that can't access databases is like flying without a map—you're not getting the full potential. But what if your Co-pilot could tap into databases effortlessly? That's exactly what we'll explore...
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I will be demonstrating Copilot Studio's Image analysis feature for an Insurance company . I will be providing car accident images as in input to the agent , this agent will help insurance companies quickly assess damage and detect fraud, speeding...
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