Showing 4 open source projects for "ai applications"

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  • 1
    Generative AI for Beginners .NET

    Generative AI for Beginners .NET

    Hands-on .NET course for building real-world generative AI apps

    Generative AI for Beginners .NET is a hands-on course that helps developers build real-world AI applications using the .NET ecosystem. It walks through core concepts such as text generation, chat-based interactions, and integrating large language models into applications. Each lesson includes short videos, working code samples, and step-by-step instructions, making it easy to follow and apply immediately.
    Downloads: 3 This Week
    Last Update:
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  • 2
    Generative AI for Beginners (Version 3)

    Generative AI for Beginners (Version 3)

    21 Lessons, Get Started Building with Generative AI

    Generative AI for Beginners is a 21-lesson course by Microsoft Cloud Advocates that teaches the fundamentals of building generative AI applications in a practical, project-oriented way. Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals.
    Downloads: 5 This Week
    Last Update:
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  • 3
    Everywhere

    Everywhere

    Context-aware desktop AI assistant that understands screen content

    ...It integrates with multiple large language model providers and supports various tools, enabling flexible and extensible AI-powered workflows. Everywhere features a modern design with interactive elements such as markdown rendering, keyboard shortcuts, and voice input capabilities. Additionally, the project emphasizes seamless workflow integration by operating alongside existing applications rather than requiring users to switch.
    Downloads: 5 This Week
    Last Update:
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  • 4
    Agent Framework

    Agent Framework

    Framework for building, orchestrating, and deploying AI agents

    Microsoft Agent Framework is an open source framework designed to help developers build, orchestrate, and deploy AI agents and multi-agent systems. It provides a unified programming model that supports both Python and .NET implementations, allowing developers to create agent-driven applications in multiple programming environments. It includes tools and abstractions for constructing simple conversational agents as well as complex workflows where multiple agents collaborate to complete tasks. ...
    Downloads: 7 This Week
    Last Update:
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