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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 #4221 · 02/23/2025, 04:00 AM

Ethereum Rollback Not Feasible, Developer Warns Ethereum developer Tim Beiko cautions against rolling back the Bybit attack, citing potential widespread disruptions and significant costs exceeding $1.5 billion. This attack does not breach Ethereum protocol rules unlike the 2016 TheDAO incident. Additionally, a Bybit address transferred $48 million to Galaxy Digital and FalconX, acquiring 34,800 ETH shortly before depositing it back into Bybit. Read more: Ethereum rollback debate and Bybit address transactions #Ethereum#Bybit#Crypto#Blockchain#DeFi#News#Investment#ETH#GalaxyDigital#FalconX#TimBeiko#CZ#KanyeWest#Polychain#OTC#Transaction#Security#Protocol#Rollback#Market#Analysis