Summary of Conversational Ai Multi-agent Interoperability, Universal Open Apis For Agentic Natural Language Multimodal Communications, by Diego Gosmar et al.
Conversational AI Multi-Agent Interoperability, Universal Open APIs for Agentic Natural Language Multimodal Communications
by Diego Gosmar, Deborah A. Dahl, Emmett Coin
First submitted to arxiv on: 28 Jul 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC)
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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 This paper examines multi-agent interoperability frameworks in Conversational AI, proposing a novel architecture called OVON (Open Voice Network) by the Open Voice Interoperability initiative. The framework enables standard interactions among diverse AI agents, including chatbots, voicebots, videobots, and human agents. Key benefits and use cases for deploying agentic AI communications are highlighted. The approach begins with Universal APIs based on Natural Language, establishing interoperable interactions through a Discovery specification framework. This framework efficiently looks up agents providing specific services and obtains accurate information about these services via standard Manifest publication. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes Conversational AI better by letting different AI helpers talk to each other. Imagine you have a chatbot on your phone, a voicebot on your smart speaker, and a videobot on your TV. They can all work together and share information with humans. The new architecture makes this happen by using special APIs based on language that lets them communicate seamlessly. This is important because it allows for more conversations between different AI agents and humans. |
