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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 #65079 · 04/10/2026, 08:28 PM

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🚀 Stablecoin Reward Negotiations Intensify Ahead of Senate Vote Negotiations over stablecoin rewards are gaining momentum as lawmakers prepare to reconvene next week. According to NS3.AI, the Senate Banking Committee is set to vote on a comprehensive crypto market structure bill by the end of the month. A recent report from White House economists suggests that stablecoin rewards are unlikely to significantly impact bank lending or broader credit conditions. However, banking advocates are pushing for stricter language on yield prohibitions, while crypto firms argue that such limits could stifle innovation. #Stablecoin#Crypto#SenateVote#Banking#CryptoRegulation#FinancialInnovation#YieldLimits#CreditConditions

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