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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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@AboutRss · Post #827 · 09/27/2020, 01:00 AM

一家安全公司出具了一份 #TinyTinyRSS 的安全报告 「Exploiting Tiny Tiny RSS」 by DigeeX https://www.digeex.de/blog/tinytinyrss/ 最近 #ttrss 的升级与该报告有关。 发现于 https://twitter.com/RSSCircus/status/1308694071121195008

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@AboutRss · Post #559 · 05/03/2020, 02:44 AM

订阅制的兴起和当局对RSS的不友好似乎使得入坑 #TTRSS 的人越来越多了。又来一篇 #教程 : 「自己搭建RSS阅读器 #TinyTinyRSS 教程(2020)」 by 奶爸建站 https://blog.naibabiji.com/tutorial/tiny-tiny-rss.html