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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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Venture Village Wall 🦄

@venturevillagewall · Post #4097 · 02/08/2025, 10:00 AM

New Book Explores Optimism in AI Future Reid Hoffman, co-founder of LinkedIn, releases his book *Superagency: what could go right with AI future*. Unlike dystopian views, Hoffman emphasizes a proactive approach to building a positive future with AI. He discusses the evolution of technology's role in society, the importance of agency in the face of AI, and the need for updates in social contracts. The book reflects on history, addressing both fears and potential benefits AI can bring. Full details available here. #AI#Tech#ReidHoffman#Future#Blockchain#Metaverse#Innovation#Autonomy#SocialChange#Privacy#Agency#Technology#Data#LLM#Community#Change#Trends