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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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郭子健Daniel Kwok Tsz Kin

@tsingyidan · Post #1175 · 04/11/2025, 06:52 AM

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We successfully hosted the Citizenship and Settlement Seminar in Glasgow and Edinburgh this April — supporting Hongkongers on their journey to ILR and UK citizenship. This seminar was co-organised by The Hong Kong Scots CIC, Hong Kong Professionals CIC, ACRHK, and Glasgow Hong Kong Christian Church, with funding from COSLA (Convention of Scottish Local Authorities) under the BN(O) Integration Support Service. Special thanks to Henry Wong, solicitor qualified in both Hong Kong and England & Wales, for leading two in-depth legal workshops tailored for the community. We are deeply grateful to Corstorphine Community Church for their long-standing support and for kindly hosting our Edinburgh session. Full income & expenditure report (in English):https://www.patreon.com/posts/citizenship-and-126410655 #BNO#ILR#HongKongInScotland#CommunitySupport

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