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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 #40829 · 03/19/2026, 11:01 AM

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Learning another language may slow brain aging, according to a huge new study. Multilingual people show less cognitive decline compared to those who speak only one language. The study suggests that speaking multiple languages helps keep brain networks active, especially those responsible for memory and attention, protecting the brain from aging effects. 🧠🌍💬 [Read more] @googlefactss #BrainHealth#Multilingual#CognitiveScience#Learning#HealthyAging

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📮漫游日报 Roam Daily

@roam_newsletter · Post #803 · 07/28/2022, 03:32 PM

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I want to re-learn everything inside @RoamResearch, to be problem-solving oriented. Roam Research #React.js Again Roam Research #Coding Again Roam Research #Agile Again Roam Research #Psychology Again Roam Research #CognitiveScience Again Roam Research Learning Again #roamculthttps://t.co/ljfRdF2KVw — jimmylv.eth (🐣, 🐣) 吕立青 2𐃏22 🇨🇳 (@Jimmy_JingLv) Jul 28, 2022

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