Summary of A Scalable Communication Protocol For Networks Of Large Language Models, by Samuele Marro et al.
A Scalable Communication Protocol for Networks of Large Language Models
by Samuele Marro, Emanuele La Malfa, Jesse Wright, Guohao Li, Nigel Shadbolt, Michael Wooldridge, Philip Torr
First submitted to arxiv on: 14 Oct 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A new meta protocol called Agora has been introduced to facilitate efficient communication among AI-powered agents in large networks. The protocol leverages existing standards and uses a combination of standardized routines, natural language, and large language model (LLM)-written routines to enable versatile and portable communication. This approach addresses the Agent Communication Trilemma by efficiently handling frequent communications, rare communications, and everything in between. Agora’s decentralized architecture allows for unprecedented scalability with minimal human involvement. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Agora is a new way for AI-powered agents to communicate with each other. It’s like a special language that helps them work together better. The problem is that when you have lots of agents working together, it can be hard to make sure they’re all talking the same language and sharing information efficiently. Agora solves this problem by using a mix of standard routines, natural language, and computer-generated text to help agents communicate effectively. This allows them to work together seamlessly without needing human help. |
Keywords
» Artificial intelligence » Large language model
