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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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Autonomous agents are advanced AI systems designed to operate independently, managing and automating complex business tasks to enhance efficiency and innovation within an organization. Unlike simpler retrieval-based or task-based agents, autonomou...
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Microsoft 365 Copilot is an AI-powered productivity tool that keeps users in the flow of their work across Microsoft 365 applications. It provides default experiences for engaging with content and resources from across an organization. Using Copil...
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Instructions are crucial in AI-generated content because they guide the AI to produce responses that are not only relevant and accurate but also contextually appropriate. Well-crafted instructions ensure that the AI understands the user's intent a...