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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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Crypto M - Crypto News

@CryptoM · Post #64817 · 04/10/2026, 02:07 AM

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🚀 CIA to Integrate AI 'Co-Workers' in Analytic Platforms The CIA has announced plans to incorporate classified AI 'co-workers' into all its analytic platforms over the next few years. According to NS3.AI, this initiative aims to assist analysts in identifying spies and evaluating foreign threats. CIA Deputy Director Michael Ellis emphasized that while AI will play a supportive role, humans will continue to make the critical decisions. Last year, the agency conducted tests on approximately 300 AI projects to advance this integration. #CIA#AI#ArtificialIntelligence#Analytics#NationalSecurity#Spying#ThreatAssessment#TechnologyIntegration#GovernmentAI#IntelligenceCommunity

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