AI Model Controller with Plugin Interfaces for Unified Multi-Model Operation
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Solution Overview
Problem
Current AI models require separate control units and interfaces for each programming language, making it difficult to integrate and manage multiple AI models deployed on a computer mainframe, as each model needs to be controlled individually and cannot be operated simultaneously.
Innovation Solution
An AI model control system that uses a single model controller connected through plugins to communicate with various AI models, allowing for unified control of tasks like training, verification, and inference across different AI models, with the ability to add or remove plugins to enable or disable models as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If each AI model uses its own control unit and interface, then the model can be controlled independently, but the system complexity increases and multiple models cannot be operated simultaneously
Solution Approach 1:
The patent implements a universal controller that can control multiple different AI models through standardized interfaces. The controller is designed to handle various model types (Python-based, C++-based, etc.) through a common control mechanism, eliminating the need for separate control units for each model while maintaining individual control capability.
Solution Approach 2:
The patent introduces an intermediary layer consisting of standardized interfaces and protocol translators between the universal controller and different AI models. This intermediary layer enables the controller to communicate with diverse models without requiring model-specific control logic, thus reducing system complexity while preserving individual model controllability.
2Adaptability or versatility
If each AI model has its own interface design and language, then the model can be optimized for its specific framework, but integration and unified management become difficult
Solution Approach 1:
The patent segments the interface architecture into two distinct layers: a standardized control interface layer for unified management and a model-specific implementation layer for framework optimization. This segmentation allows each AI model to maintain its optimized interface while being accessible through a common control mechanism, resolving the integration difficulty.
Solution Approach 2:
The patent creates a universal interface standard that can accommodate multiple programming languages and frameworks. The standardized interface is designed to be language-agnostic, allowing Python-based models, C++-based models, and other frameworks to all communicate through the same interface protocol, thus enabling unified management without sacrificing model-specific optimizations.
3Adaptability or versatility
If multiple AI models are deployed on a computer mainframe, then the system provides diverse AI capabilities, but the models cannot be operated simultaneously due to individual control requirements
Solution Approach 1:
The patent implements a universal controller capable of simultaneously managing multiple AI models with different frameworks and functionalities. The controller uses standardized interfaces to issue commands to multiple models concurrently, enabling simultaneous operation of diverse AI capabilities without the bottlenecks of individual control units.
Solution Approach 2:
The patent merges the control functions for multiple AI models into a single unified controller. By combining the control mechanisms and using a common interface standard, the system enables coordinated simultaneous operation of multiple models while maintaining the ability to manage each model's specific requirements through the unified control structure.
Data Source
AI summary
The disclosure provides an artificial intelligence model control system, including a plurality of artificial intelligence model service modules, a plurality of model plugins, and a model controller. Each model plugin corresponds to one artificial intelligence model service module, so that the model plugin communicates with the corresponding artificial intelligence model service module. The model controller is connected to the model plugins and controls, through the model plugin, the corresponding artificial intelligence model service module to perform a task. Therefore, in the disclosure, a single model controller controls all artificial intelligence model service modules to perform tasks.