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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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@venturevillagewall · Post #3543 · 12/20/2024, 09:31 AM

MRI Simulator Secures $3.5M Corsmed has successfully raised $3.50M to enhance its MRI simulator, which provides an affordable, realistic training solution for students and technicians. This technology allows hands-on experience for just 1% of the cost of traditional MRI scanners, expanding training opportunities significantly. #Corsmed#MRI#Simulator#Healthcare#Training#EdTech#Innovation#Financing#MedicalTraining#TechFunding#Startup#Students#Technicians#AffordableHealthcare#HandsOnTraining#SkillsDevelopment#Technology#Upskilling#AffordableTech#MedicalEducation