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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 #64774 · 04/09/2026, 10:01 PM

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🚀 Bank of Korea Advocates Bank-Led Model for Won Stablecoins The Bank of Korea has proposed a bank-led model for issuing won stablecoins, citing media ownership laws as justification. According to NS3.AI, the central bank suggests that issuers should adhere to a rule requiring banks to hold 50% plus one share ownership. This proposal was detailed in materials submitted to Democratic Party lawmaker Park Min-gyu's office, referencing Article 8 of the Broadcasting Act and Article 18 of the Newspaper Act. However, critics argue that using media ownership laws to regulate stablecoins represents a significant logical leap. #BankofKorea#Stablecoins#WonStablecoins#BankLedModel#MediaOwnershipLaws#NS3AI#DemocraticParty#ParkMinGyu#BroadcastingAct#NewspaperAct#Criticism

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