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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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KIUT | Namangan rasmiy

@kiut_nm · Post #5409 · 01/31/2026, 10:29 AM

🇺🇸🤝🇺🇿 At the initiative of the Vice-Rector for International Cooperation of Kimyo International University in Tashkent, Mr. Rod Clark, an event was held in cooperation with representatives of the U.S. organization OSAC, focusing on one of the issues that is becoming increasingly relevant today — artificial intelligence and cybersecurity. The event brought together representatives of various U.S. companies and organizations operating in Tashkent, who shared their practical experience in implementing modern technologies, ensuring digital security, and current developments in these fields. 🇺🇿🇬🇧🇷🇺: www.kiut.uz #KIUT #OSAC #ArtificialIntelligence