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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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Environment & Climate Change

@Enviro_Climate · Post #372 · 09/18/2021, 01:21 PM

Sea Secrets - Arash Sharifi Arash Sharifi, a Ph.D. candidate of marine geology and geophysics at the UM Rosenstiel School, takes us into the compelling world of #paleoclimate research. By using climate, #historical, and #archeological records, Sharifi shows how climate change has been affecting the world since the beginning of human #civilization. @Enviro_Climate https://youtu.be/ovy-57jx85Q?t=3