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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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Crypto M - Crypto News

@CryptoM · Post #65242 · 04/12/2026, 08:25 AM

🚀 Former Bank of China VP Comments on U.S. Crypto Regulation Approach Former Bank of China Vice President Wang Yongli has expressed that the United States' method of classifying and regulating crypto assets warrants examination. According to NS3.AI, Wang Yongli noted that the CLARITY Act guidance document represents a notable advancement. However, he emphasized that nations should tailor their crypto asset regulations to align with their specific circumstances. #BankOfChina#CryptoRegulation#USCrypto#CLARITYAct#WangYongli#CryptoPolicy#FinancialRegulation#Blockchain