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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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AI & Law

@ai_and_law · Post #132 · 10/06/2023, 07:04 AM

Navigating AI Worries: Insights from the FTC Hello, dear subsribers! The U.S. Federal Trade Commission's Office of Technology has addressed consumers' growing concerns about artificial intelligence in a recent blog post. These concerns encompass the entire AI lifecycle, from its construction to its real-world use by third parties. Key issues highlighted include the extensive data collection necessary for training AI models and various aspects of users' interactions with AI systems. #AIandLaw#AIConcerns#FTC#ArtificialIntelligence