#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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Сколько времени вы проводите в соцсетях?🧐
Кажется, скоро будем проводить еще больше, ведь в июле появилась новая сеть #Threads, которую все называют аналогом #Twitter.
💼Некоторые бренды уже начали использовать новый инструмент в работе. Оставляйте комментарии, мы соберем подборку ваших мнений в наш канал в Дзене.
Как вы оцениваете запуск новой социальной сети Threads? Будете ли использовать в работе? И как?
Meta 旗下社交媒体 Threads 移动端日活超越 X 平台,网页端差距悬殊揭示社媒格局新变化
Similarweb报告显示,Threads移动端日活达1.415亿,已超越X平台。Threads的增长得益于Meta的交叉推广与功能完善;而X平台受AI争议及监管调查影响,美国日活大幅下滑。尽管X在网页端仍具绝对优势,但其领先地位正被削弱,Threads正逐渐成为主流社交工具。
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