StackChan: Kawaii Co-Created Open-Source AI Desktop Robot
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Windows AI APIs deliver fast on-device AI for text and image generation, image editing, object removal, optical character recognition (OCR), and content safety. These tools give developers a strong foundation for building the next wave of AI powered apps without needing to manage complex models. ✏️ With AI features running locally, apps can become more responsive, more private, and more capable. Windows AI APIs make it easier for developers to focus on creating great user experiences while relyi
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Ready to build what's next? The Windows AI APIs enable AI capabilities without the need to find, run, or optimize your own machine learning model. The models that power the Windows AI APIs on Copilot PCs run locally and can run continuously in the background. Many popular apps leverage Windows AI APIs to bring local AI experiences. These APIs include Image Generation, Text Intelligence Rewrite, App Content Search, Text Intelligence Summarize, Phi Silica, and Video Super Resolution 🔧 Developers
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FacebookWindows Developer
Not all AI needs the cloud 🤖 Thanks to Tom Shaw for highlighting the Windows AI Dev Gallery — a tool that helps you explore, install, and run AI models locally, with zero cloud costs. You can test models before adding them to your apps, then integrate them in just a few lines of code. 💻 Learn more about Windows AI tools: 🔗 aka.ms/WinAI/APIs 🔗 aka.ms/TryWinML 🔗 aka.ms/Git/FoundryLocal | Windows Developer
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🛠️✨Windows AI APIs make it simple to plug in text intelligence, Semantic Search, and more into your app development. Need to customize text responses? Drop in LoRA for Phi Silica—no retraining needed. All while running locally on Copilot PCs for better privacy, lower latency, and no cloud costs. 📺 Learn more from the Microsoft Build session BRK224, now available on demand: https://msft.it/6189StknX | Windows Developer
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