ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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RDMA Point-to-Point Communication for LLM Systems

📝 Summary:
TransferEngine provides a uniform interface for flexible point-to-point communication in LLM systems, overcoming NIC-specific limitations. It bridges different hardware, providing high throughput for disaggregated inference, RL, and MoE tasks. This solution avoids hardware lock-in and complements...

🔹 Publication Date: Published on Oct 31

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.27656
• PDF: https://arxiv.org/pdf/2510.27656
• Github: https://github.com/perplexityai/pplx-garden

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For more data science resources:
https://t.me/DataScienceT

#RDMA #LLM #HPC #AIInfrastructure #DistributedSystems
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UFO^3: Weaving the Digital Agent Galaxy

📝 Summary:
UFO^3 unifies diverse digital devices into a single orchestration fabric, enabling AI agents to collaborate seamlessly across platforms. It models tasks dynamically for asynchronous execution, achieving efficient, resilient, and accurate cross-device task orchestration with improved parallelism a...

🔹 Publication Date: Published on Nov 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.11332
• PDF: https://arxiv.org/pdf/2511.11332
• Project Page: https://microsoft.github.io/UFO/
• Github: https://github.com/microsoft/UFO/

==================================

For more data science resources:
https://t.me/DataScienceT

#AIAgents #TaskOrchestration #DistributedSystems #EdgeAI #MultiAgentSystems
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VIEW IN TELEGRAM
UFO^3: Weaving the Digital Agent Galaxy

📝 Summary:
UFO^3 unifies diverse digital devices into a single orchestration fabric, enabling AI agents to collaborate seamlessly across platforms. It models tasks dynamically for asynchronous execution, achieving efficient, resilient, and accurate cross-device task orchestration with improved parallelism a...

🔹 Publication Date: Published on Nov 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.11332
• PDF: https://arxiv.org/pdf/2511.11332
• Project Page: https://microsoft.github.io/UFO/
• Github: https://github.com/microsoft/UFO/

==================================

For more data science resources:
https://t.me/DataScienceT

#AIAgents #TaskOrchestration #DistributedSystems #EdgeAI #MultiAgentSystems