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Source channel @githubtrending · Post #14747 · May 25

#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

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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40236 · 12/02/2025, 07:04 AM

🌍 Over 2,200 years ago, the Greek mathematician Eratosthenes calculated Earth’s circumference using only a stick and his brain — and he was almost exactly right! 📏 By observing shadows in two cities, he calculated the Earth was about 40,000 km around. Ancient genius at its finest! [Source] @googlefactss#AncientGreece#ScienceHistory#Eratosthenes#EarthCircumference#AncientScience