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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 #4275 · 03/01/2025, 07:00 AM

Vitalik Buterin on AI's Role Vitalik Buterin emphasizes AI as a human-controlled tool in his latest article. This framework aims to align technological advancements with human values and needs, reducing the risks of centralized power. He highlights the importance of decentralized systems like blockchain for maintaining diverse and quality decision-making. #AI#Blockchain#Decentralization#Technology#HumanValues#Control#Innovation#Ethics#Crypto#VC