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Source channel @githubtrending · Post #14659 · May 1

#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN

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⚪️ BHero Launchpad ⚪️ 🚀 Phase 2 🚀 After hints have been shared here and there with the community, we are officially announcing that the BHero Launchpad is entering Phase 2. Leveling up switches to BHAT-only mode. Learn more: https://blog.bhero.com/phase2/ 🕊 Twitter: Click Here 📘 Facebook: Click Here 💼 Linkedin: Click Here 🔼 Telegram Groups: EN / RO / FR 🎩Hats off! #launchpad#promotion#BHero