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Hi Stefan, I'm with the product team and while I (belatedly) replied at the top level with something that might help Kirang, I wanted to add here that we appreciate your feedback here. The interface designer copilot feature does have some limitations but improvements are coming as we continue to invest in Appian AI Copilot features.
AI is the defining technology of our time and developers are at the forefront of this transformation. With the right tools we can empower developers and our shared customers to shape the future and leave their mark on the world. We are just starting to see the incredible impact AI is having across industries and in our own daily lives. Today, the team and I are excited to share the next steps we are taking on our journey with Windows 11, to meet this new age of AI.
Last year at Build, we announced Hybrid Loop, a new development pattern that enables hybrid AI scenarios across Azure and client devices. Today, we are excited to share that our vision has become a reality using ONNX Runtime as the gateway to Windows AI and Olive, a toolchain we created to ease the burden on you when optimizing models for varied Windows and other devices. With ONNX Runtime, third-party developers have access to the same tools we use internally to run AI models on Windows or other devices across CPU, GPU, NPU, or hybrid with Azure.
You can also optimize your models for different hardware targets with Olive, an extensible toolchain that combines cutting edge techniques for model compression, optimization and compilation. And you can use ONNX Runtime across platforms like Windows, iOS, Android and Linux, so your Windows AI investment can extend to all your app platforms.
Both ONNX Runtime and Olive contribute to the velocity of getting your AI models deployed into apps. ONNX Runtime makes it easier for you to create amazing AI experiences on Windows and other platforms, with less engineering effort and better performance.
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