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Source channel @githubtrending · Post #15077 · Aug 20

#c_lang#infiniband#iwarp#kernel_rdma_drivers#linux_kernel#rdma#roce#userspace_libraries You can use RDMA Core, a set of Linux userspace libraries and daemons, to work with RDMA devices for high-speed network communication. It supports many kernel drivers and provides tools and libraries like libibverbs and librdmacm to manage RDMA devices and connections. You can build it easily with cmake and install required packages depending on your Linux distribution. Using RDMA Core lets you set up software RDMA interfaces and verify them with commands like `ibv_devices` or `rdma link`. This helps you achieve faster, low-latency data transfer, which is useful for high-performance computing and networking tasks. https://github.com/linux-rdma/rdma-core

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🇩🇪 Reich's Treasure Gallery

@besteanimebilder · Post #6059 · 12/27/2019, 11:10 AM

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육상선수 ~ #overwatch#tracer 1700x2700

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@kejiqu · Post #3493 · 05/30/2025, 06:51 AM

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Anthropic 开源“思维追踪”工具，可视化揭秘 AI 内部逻辑 Anthropic于5月29日发布“思维追踪”（Circuit Tracer）开源工具，以图形化方式呈现AI大语言模型的内部思维过程。该工具通过构建“归因图”（Attribution Graph），帮助研究者可视化模型内部运作并进行交互式探索。Circuit Tracer已在GitHub平台以开源库形式发布，研究者可在Decode Research运营的Neuronpedia平台上使用交互式前端查看“归因图”。用户可利用该工具生成自定义归因图，追踪模型内部逻辑，并进行标注、分享和调整特征值以验证研究假设。Anthropic 认为，开源这些工具将促进对语言模型内部运作的更广泛理解。IT之家 | Anthropic 🏷#Anthropic#Circuit#Tracer#开源 📢频道👥群组📝投稿

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@besteanimebilder · Post #5993 · 12/06/2019, 01:10 PM

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もう家に帰ってもいいです。 #overwatch#mercy#tracer#wounded 1960x1985

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@bubbletealuv · Post #2853 · 11/25/2024, 01:59 PM

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