Internet of Models for AI Communication
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Solution Overview
Problem
Existing communication systems among artificial intelligence models lack real-time awareness, continuous monitoring, and effective cross-department collaboration, leading to inefficiencies and communication gaps within and between organizations.
Innovation Solution
The Internet of Models (IoM) system, which comprises internal and external Large Language Models (LLMs) configured to enable real-time awareness, continuous monitoring, and cross-department collaboration through coordinated task management and insight sharing across a network of interconnected LLMs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional communication systems are used among AI models, then system simplicity is maintained, but real-time awareness and continuous monitoring capabilities are lost
Solution Approach 1:
The patent introduces LLM-based agents as intermediary components that mediate communication between AI models. These agents process and interpret model outputs, convert them into meaningful insights, and facilitate real-time awareness across the system. The intermediary layer enables sophisticated monitoring and collaboration capabilities while maintaining relative simplicity in the core model architecture.
2Productivity
If AI models operate independently, then model autonomy is maintained, but cross-department collaboration and coordination are insufficient
Solution Approach 1:
The patent implements feedback mechanisms where LLM agents continuously monitor model outputs and system states, then feed this information back to relevant models and stakeholders. This feedback loop enables coordinated action across departments while preserving model autonomy, as models receive contextual information and guidance without losing their independent decision-making capabilities.
Solution Approach 2:
The LLM agents serve multiple functions simultaneously: they monitor model outputs, generate insights, facilitate communication, coordinate tasks, and share knowledge across departments. This multi-functionality enables comprehensive collaboration support without requiring separate specialized systems for each function, maintaining efficiency while enhancing coordination.
3Loss of information
If comprehensive information sharing is implemented among external LLMs, then organizational transparency is improved, but security risks increase
Solution Approach 1:
The patent applies local quality by enabling selective information sharing where different LLM agents access and share only the specific information relevant to their functions and security clearances. Rather than universal information access, each agent has tailored access rights appropriate to its role, maintaining transparency where needed while protecting sensitive information through localized access control.
Data Source
AI summary
Internet of Models (IoMs) is the interconnected communication between different models, transcending organizational boundaries. IoMs act as an organizational savant, possessing an encyclopedic knowledge of all activities within the organization, bridging communication gaps among departments, and even conversing with external LLMs. The external model acts as a liaison, facilitating collaboration beyond the organization. Specialized Models dedicated to distinct software domains streamline data integration, collecting outputs from various systems. A model, such as a Large Language Model (LLM), is a sophisticated AI system capable of understanding and generating human-like text based on the input it receives. IoM can handle a variety of inputs and can also perform real-time analysis. IoM offers centralized and decentralized approaches, both empowering models to execute actions seamlessly, facilitating a new era of AI-driven possibilities in organizational operations, communication, and collaboration.