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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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@venturevillagewall · Post #3649 · 12/21/2024, 10:24 AM

Decart Secures $32M Funding Round Decart raises $32M in a funding round on December 19, 2024. The company aims to democratize consumer AI with innovative solutions. Backed by Sequoia Capital and Zeev Ventures, Decart enhances GPU efficiency for AI model training, making advanced AI tools more accessible. It disrupts gaming and entertainment by enabling immersive experience creation from text prompts. Learn more #Decart#Funding#AI#GPU#Gaming#Entertainment#SequoiaCapital#ZeevVentures#ConsumerAI#TextToExperience#Innovation#Platform #2024 #Revolutionary#Technology#Access#Development#Efficiency#Democratization#Tools#Industry