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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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Machinelearning

@ai_machinelearning_big_data · Post #8252 · 08/12/2025, 12:50 PM

🚀 Hunyuan-Large-Vision: новая мощная мультимодальная модель от Tencent 🔹 MoE-архитектура — 389B параметров (52B активных) для оптимального баланса мощности и эффективности. 🔹 Лидер в рейтингах — 1256 баллов в LMArena Vision, #1 в Китае, на уровне GPT-4.5 и Claude-4-Sonnet. 🔹 Глубокое понимание — визуальное рассуждение, анализ видео и 3D-пространства, 79,5 баллов в среднем по бенчмарку OpenCompass. 📌 Модель дополняет линейку Hunyuan-TurboS-Vision и Hunyuan-T1-Vision, доступных через Tencent Cloud для задач в самых разных отраслях. 🟢Попробовать: https://hunyuan.tencent.com/modelSquare/home/list?modelKey=VisionUnderstand 🟢Блог: https://vision.hunyuan.tencent.com 🟢API: https://cloud.tencent.com/document/product/1729/104753 @ai_machinelearning_big_data #AI#Multimodal#MachineLearning#MoE#VisionAI#Tencent#Hunyuan#LLM#ComputerVision#3DVision