Academic Publication A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges
Research Abstract & Technology Focus
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What are the best-practice architectural workflows for LLM-based contract compliance agents?
For LLM-based contract compliance agents, the most reliable architectures tend to combine structured document graphs, retrieval pipelines, and staged evaluation rather than relying on a single agen...
What are the best-practice architectural workflows for LLM-based contract compliance agents?
Designing a contract compliance agent is a high-stakes engineering task because "close enough" doesn't cut it in legal-tech. Your current dual-agent approach is a great start, but to handle the nua...
[Feature] Ollama / local model LLMAdapter
The request for an 'Ollama / local model LLMAdapter' highlights a significant market trend: the growing demand for running multi-agent workflows without 'depending on cloud APIs.' This caters direc...
Show HN: I built a tiny LLM to demystify how language models work
Cool project. I'm working on something where multiple LLM agents share a world and interact with each other autonomously. One thing that surprised me is how much the "world" matters — same model, s...
Llm-agents
The proliferation of LLM agents is driving critical discussions around their governance, security vulnerabilities like "Disregard That" attacks, and the architectural challenges of scaling distribu...
Frequently Asked Questions (FAQ)
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What is the core focus of the research titled 'A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges'?
This literature focuses on: AbstractThe pursuit of more intelligent and credible autonomous systems, akin to human society, has been a long-standing endeavor for humans. Leveraging the exceptional reasoning and planning capabilities of large language models (LLMs), LLM-based...
Are there open-source GitHub repositories related to A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges?
Yes, open-source projects like THU-MAIC/OpenMAIC (Open Multi-Agent Interactive Classroom — Get an immersive, multi-agent learning experience in just one click) are actively building upon these concepts.
Which startups are commercializing the technology behind A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges?
Products like BAND are bringing this to market. Their focus is: Coordinate and govern multi-agent work in a single chat.
How is the concept of 'A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges' being discussed by engineers on StackExchange?
Yes, highly correlated activity was mapped. An entry titled 'What are the best-practice architectural workflows for LLM-based contract compliance agents?' discusses this: For LLM-based contract compliance agents, the most reliable architectures tend to combine structured document graphs, retrieval pipelines, and stag...
How is the concept of 'A survey on LLM-based multi-agent systems: workflow, infrastructure, and challenges' being discussed by engineers on Hacker News?
Yes, highly correlated activity was mapped. An entry titled 'Show HN: I built a tiny LLM to demystify how language models work' discusses this: Cool project. I'm working on something where multiple LLM agents share a world and interact with each other autonomously. One thing that surprised ...
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Commercial Realization
Startups and Open Source tools heavily associated with the concepts explored in this paper.
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GitHubTHU-MAIC/OpenMAIC
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GitHubnikmcfly/MiroFish-Offline
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Product HuntBAND
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Product HuntLobeHub
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