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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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@sudo_recast · Post #104 · 04/25/2022, 12:16 PM

GitLab-specific references https://docs.gitlab.com/ee/user/markdown.html#gitlab-specific-references #mark

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Parallel Experiments

@LinghaoCh · Post #755 · 04/10/2022, 02:07 AM

https://store.steampowered.com/app/900270/Reventure/ 令人惊喜的小游戏,核心玩法是在一个剧情老套的像素风 RPG 里找到 100 种不同的结局。 #mark#game

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