Cognitive Model Optimization via Natural Language Interface
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Solution Overview
Problem
Non-expert users lack the education and knowledge to effectively optimize and fine-tune cognitive models, limiting the benefits of cognitive modeling in various applications.
Innovation Solution
A system that uses natural-language conversation to guide users in optimizing cognitive models by automatically running experiments, performing diagnostics, and recommending fixes, enabling interaction through natural language without requiring expertise in software development or cognitive technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cognitive models are optimized through fine-tuning by software developers and cognitive technology experts, then model performance and accuracy are improved, but the complexity and expertise required to operate the system increases
Solution Approach 1:
The patent introduces a natural language interface as an intermediary between non-expert users and the cognitive model optimization process. Users can interact with the system through conversational commands rather than requiring direct knowledge of model fine-tuning techniques, thereby maintaining high model accuracy while significantly improving ease of operation for non-expert users
2Ease of operation
If automated analysis and diagnostics are implemented to assist non-expert users, then ease of operation is improved, but system complexity and computational resources increase
Solution Approach 1:
The system implements automated self-service capabilities where the cognitive model performs its own diagnostics, analysis, and optimization without requiring external expert intervention. The model can automatically analyze user feedback, identify performance issues, and suggest or implement improvements, thereby improving ease of operation while managing system complexity through automation rather than human expertise
Data Source
AI summary
Systems and methods to generate cognitive models are described. A particular apparatus includes a memory having program code and a processor configured to access the memory and to execute the program code to process user input that includes a natural language dialogue-based command pertaining to a cognitive model, to automatically run analysis on the cognitive model and to present a user in natural language with a recommendation to modify the cognitive model.