AI Request Intermediary for Real-Time Response Intervention
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Solution Overview
Problem
Existing intervention methods for traditional search engines are inadequate for the new generation of artificial intelligence models, as they are based on ordered lists of hyperlinks and short search terms, which are less relevant for AI systems that generate paragraphs and nuanced questions.
Innovation Solution
A system and method for interventions in AI models that involve an intermediary computer system applying intervention information from a database to modify user requests before sending them to the AI system, allowing for real-time adjustments and fine-tuning of responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional search engine intervention methods are used, then the system structure remains simple, but the intervention effectiveness deteriorates for AI models
Solution Approach 1:
The patent introduces an intermediary computer system that acts as a mediator between users and the AI model. This intermediary receives user requests, queries intervention information from a database using extracted keywords or concepts, calculates interventions by combining intervention information with organic information, and sends the combined request to the AI model. This intermediary structure resolves the contradiction by enabling effective AI model intervention without requiring direct modification of the AI model itself, thus maintaining system simplicity while improving intervention effectiveness.
Solution Approach 2:
The patent segments the intervention process into distinct functional components: keyword/concept extraction, database querying for intervention information, calculation of interventions by combining intervention and organic information, and request modification. This segmentation allows each component to be optimized independently, improving overall intervention effectiveness while keeping the system architecture manageable and modular.
2Measurement precision
If intervention information is applied to modify requests, then response relevance improves, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-storing intervention information in a database associated with specific keywords or concepts before actual request processing. When a user request arrives, the system only needs to query the pre-organized database and combine the results with organic information, rather than generating intervention information from scratch during request processing. This significantly reduces processing time while maintaining response relevance.
3Adaptability or versatility
If AI model outputs are modified to accommodate traditional intervention formats, then compatibility with existing systems improves, but the quality of AI-generated content deteriorates
Solution Approach 1:
Instead of modifying AI model outputs to fit traditional intervention formats, the patent inverts the approach by modifying the input request to include intervention information before it reaches the AI model. The intermediary system combines intervention information with organic information to create an augmented request that the AI model processes naturally. This preserves the AI model's output quality while achieving intervention goals, as the model generates content based on the augmented request without requiring format changes to its native output.
Data Source
AI summary
According to some embodiments, a computer-implemented method for intervening in an artificial intelligence (AI) model is provided. The method includes obtaining a request from a user computer. The method includes obtaining intervention information applicable to the request. The method includes generating an augmented request based upon the obtained request and the obtained intervention information. The method includes providing the augmented request as input to an AI model. The method includes obtaining a response to the augmented request from the AI model. The method includes sending the obtained response towards the user computer.