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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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SingSing Announcement

@singsingchannel · Post #748 · 07/31/2024, 08:39 AM

🚨Big News Alert🚨 🔥 We are thrilled to announce that the SingSing Mini App is upgrading to a new version! 🎉 ✨ Key benefits of the SingSing Mini App upgrade include: 1️⃣No more gas fees on most of transactions, making it more cost-effective for you. 2️⃣Soon, you will be able to use RUBY in various games and projects within the SingSing ecosystem. This upgrade is designed to enhance your experience and bring more value to our community. Stay tuned for these exciting changes! 🌟 #SingSing#RUBYV2#Blockchain#Crypto#Upgrade