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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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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