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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 #3608 · 12/21/2024, 07:13 AM

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Disrupting Subscription Models A potential billion-dollar startup aims to revolutionize content sales by eliminating subscription models that frustrate users wanting single purchases. Currently, 70% of subscribers cancel within 3-6 months, while content sellers hesitate to switch to one-time payments due to lower profitability. Innovations in this direction could lead to significant market changes. More details here: Fast Founder #Startup#ContentSales#SubscriptionModel#UserExperience#BusinessStrategy#MarketInnovation#OneTimePayment#Profitability#UserRetention#Ecommerce#RevenueModel#Disruption#TechStartup#Media#DigitalContent#OnlineSales#Fintech#Investments#Entrepreneurship#InnovativeIdeas