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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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@venturevillagewall · Post #4196 · 02/20/2025, 04:00 AM

Aptos Accuses Monad of Code Theft Aptos research director Alexander Spiegelman has accused Monad of plagiarizing Aptos' open-source code. Monad co-founder James Hunsaker denied these claims, stating that BlockSTM is an extension and that no Aptos code has been utilized. Meanwhile, Monad recently secured $225M funding led by Paradigm, reaching a $3B valuation. More details: Wu Blockchain News #Aptos#Monad#Blockchain#Investing#Funding#Paradigm#SOL#Ethereum#DeFi#Crypto#VC#Tech#Innovation#OpenSource#FundingRound#Inflation#Protocols#Development#DEX#SecondSwap