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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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URA Singapore

@URASingapore · Post #732 · 03/01/2024, 10:00 AM

🤔Did you know: during the Victoria Theatre’s refurbishment, its clock (constructed in 1906) was sent back to its original manufacturer in the UK to be restored 🇬🇧🕰️ 👀 Take a peek at over 500 drawings and artefacts from the Singapore Architecture Collection that are being showcased to the public for the first time, only at the ‘To Draw An Idea’ exhibition. To sign up for a free guided tour or talk, head over to 👉https://go.gov.sg/TDAI-programmes #exhibition#freeexhibition#architecturesg#architectureplans#discoversingapore