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✨ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
📝 Summary:
ComfyUI-Copilot is an LLM and multi-agent system that enhances ComfyUI's usability. It provides intelligent recommendations and automated one-click workflow construction, lowering entry barriers for beginners and boosting efficiency for experienced users.
🔹 Publication Date: Published on Jun 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2506.05010
• PDF: https://arxiv.org/pdf/2506.05010
• Project Page: https://x.com/wangly0229/status/1923515826713526583
• Github: https://github.com/AIDC-AI/ComfyUI-Copilot
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #MultiAgent #ComfyUI #AI #WorkflowAutomation
📝 Summary:
ComfyUI-Copilot is an LLM and multi-agent system that enhances ComfyUI's usability. It provides intelligent recommendations and automated one-click workflow construction, lowering entry barriers for beginners and boosting efficiency for experienced users.
🔹 Publication Date: Published on Jun 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2506.05010
• PDF: https://arxiv.org/pdf/2506.05010
• Project Page: https://x.com/wangly0229/status/1923515826713526583
• Github: https://github.com/AIDC-AI/ComfyUI-Copilot
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #MultiAgent #ComfyUI #AI #WorkflowAutomation
✨Solving a Million-Step LLM Task with Zero Errors
📝 Summary:
MAKER solves million-step LLM tasks with zero errors. It uses extreme task decomposition for microagents and applies error correction at each step with multi-agent voting. This offers a new scalable approach for complex LLM processes.
🔹 Publication Date: Published on Nov 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.09030
• PDF: https://arxiv.org/pdf/2511.09030
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AI #ErrorCorrection #MultiAgent #TaskDecomposition
📝 Summary:
MAKER solves million-step LLM tasks with zero errors. It uses extreme task decomposition for microagents and applies error correction at each step with multi-agent voting. This offers a new scalable approach for complex LLM processes.
🔹 Publication Date: Published on Nov 12
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.09030
• PDF: https://arxiv.org/pdf/2511.09030
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#LLM #AI #ErrorCorrection #MultiAgent #TaskDecomposition