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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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CaptKyle Patriots Ⓡ 🍊

@CaptKylePatriots · Post #283659 · 04/12/2026, 02:00 PM

🟪🟡GROUNDING is EARTH FREQUENCY🟪🟡Healing Frequency🟪🟡 💚We are coming into some crazy energies this month so it’s more important then ever to focus on the grounding of SELF. Stay grounded and balanced, YOU WILL BE TESTED. 💚Grounding and connecting to the earth is one of the most simple ways to heal self! #grounding 🟨JOIN ➡️@SapphireSkyeOfficial 💜💟

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@seeker_rc · Post #20331 · 05/12/2026, 07:55 AM

💡 浴室沉思 通过AI来看书读论文听播客,是一种比通过短视频来学习知识更严重的幻觉,因为既没有在脑中留下足够深刻的“划痕”,也没有触地(grounding)的经验和具身(embodiment )的体验。 via 浴室沉思 标签: #AI#触地#grounding ⚡️探索号频道 ⚡️探索者频道 ⚡️探索者交流群 ⚡️ Youtube 频道:科技探索者 每天推荐有趣内容,欢迎订阅、转发。

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@githubtrending · Post #14639 · 04/27/2025, 01:00 PM

#python#agent_computer_interface#ai_agents#computer_automation#computer_use#grounding#gui_agents#in_context_reinforcement_learning#memory#mllm#planning#retrieval_augmented_generation Agent S2 is a smart AI assistant that handles computer tasks by breaking them into smaller steps and using specialized tools for each part, making it highly adaptable and efficient across different systems like Windows and Android. It outperforms other AI tools in completing complex tasks, learns from experience, and adjusts plans as needed, helping users automate digital work more reliably and effectively. https://github.com/simular-ai/Agent-S