#python#deep_learning#intel#machine_learning#neural_network#pytorch#quantization
Intel Extension for PyTorch boosts the speed of PyTorch on Intel hardware, including both CPUs and GPUs, by using special features like AVX-512, AMX, and XMX for faster calculations[5][2][4]. It supports many popular large language models (LLMs) such as Llama, Qwen, Phi, and DeepSeek, offering optimizations for different data types and easy GPU acceleration. This means you can run advanced AI models much faster and more efficiently on your Intel computer, with simple setup and support for both ready-made and custom models.
https://github.com/intel/intel-extension-for-pytorch
➡️New build available for Xiaomi POCO M3/Redmi 9T (chime)
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ℹ️ Version: 12
📆 Build date: November 25, 2022 01:10
📂 File size: 1.66 GB
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#chime#pixelexperience
➡️New build available for Xiaomi POCO M3/Redmi 9T (chime)
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ℹ️ Version: 12
📆 Build date: November 20, 2022 11:41
📂 File size: 1.66 GB
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#chime#pixelexperience
🪐 One of the largest samples of fast radio bursts (FRBs) ever recorded comes from the Canadian Hydrogen Intensity Mapping Experiment (CHIME), which has detected thousands of these brief, mysterious flashes from all directions across the sky. Each FRB is a burst of radio energy that lasts just milliseconds, often releasing more power than our Sun emits in days, and their unpredictable appearances continue to challenge scientists searching for their true origins. ✨
#FRB⚡#CHIME⚡#astronomy⚡#nasa⚡#galaxy⚡#stars⚡#universe⚡#cosmos⚡#space
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