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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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Libreware

@libreware · Post #1583 · 05/04/2026, 03:28 PM

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FaceTime Without the Internet | Data Slayer FaceTiming without Apple... I tested whether consumer apps like FaceTime, Signal, WhatsApp, and Zoom work on an off-grid #HaLow#mesh#network with zero internet. The key discovery: FaceTime and Signal connect peer-to-peer if they can find each other on any local network — Apple's servers aren't in the loop. The climax was a two-car highway test where Emilia and I held a FaceTime call at 70 mph, bridged only by Haven nodes and sub-gigahertz antennas. The conclusion: the "loophole" isn't a hack — it's the original peer-to-peer design we forgot about once we handed the internet to five companies. #MeshNetwork#OffGrid#P2P

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