#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
⚡️Los Rays en sus últimas 4 series:
Barreda de 3-0 contra los Twins
Victoria de la serie de 2-1 contra los Guardians
Barreda de 3-0 contra los Giants
Barreda de 3-0 contra los Blue Jays
Tampa Bay está en una racha ganadora ☀️
#Rays
🗞 | t.me/MLB_Daily
⚡️🦐 Según se informa, el lanzador derecho Nick Martinez y los Rays han llegado a un acuerdo de contrato por un año.
#️⃣#Rays#NMartínez
🗞 | t.me/MLB_Daily
💥💱 𝑻𝑹𝑨𝑫𝑬 𝑨𝑳𝑬𝑹𝑻 💱💥
🦤 Orioles reciben a:
⚡️ RHP Shane Baz
⚡️ Rays reciben a:
⚾️ OF Slater de Brun (Prospecto #6 de Orioles)
⚾️ C Caden Bodine (Prospecto #10 de Orioles)
🧢 RHP Michael Forret (Prospecto #11 de Orioles)
⚾️ OF Austin Overn (Prospecto #30 de Orioles)
- una selección de la Ronda A de Equilibrio Competitivo
#️⃣#Trade#Orioles#Rays#Baz#DeBrun#Bodine#Forret#Overn
🗞 | t.me/MLB_Daily