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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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EKOLOG.UZ| ENG

@ekologuzenglish · Post #10273 · 11/10/2025, 01:01 PM

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As we approach the #COP30 summit in Brazil, let’s explore some key facts about climate change together. Each number from 1 to 30 highlights an important theme — covering areas such as energy, adaptation, finance, nature, gender equality, health, and justice. At a time when climate-related misinformation is rapidly increasing, the #ClimateCounts initiative helps improve climate literacy — empowering individuals and communities to take bolder climate action and demand stronger commitments. See them all here: https://feature.undp.org/climate-counts/ #ClimateAction#ClimateCounts ☘️Read the latest environmental news on the @ekologuz page. Follow us and send your suggestions and wishes via @eklguz_bot Instagram | Facebook | Twitter | Sayt | Youtube.

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