LLM-Based Patent Suggestion System for Sustainable Innovation
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Solution Overview
Problem
Current methods for enhancing solutions to seed problems are time-consuming and lack the capability to effectively incorporate technical and environmentally sustainable innovations, particularly due to the absence of advanced large language models and comprehensive analysis of patent data.
Innovation Solution
A computer-implemented method utilizing advanced large language models and various problem-solving methodologies to analyze patent data and generate suggestions that integrate key concepts from general and environmentally sustainable technologies, providing a comprehensive solution for inventors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional manual searching of patent databases and expert consultation are used, then solutions can be enhanced with technical knowledge, but the process becomes time-consuming and may not yield comprehensive results
Solution Approach 1:
The patent replaces manual mechanical searching and expert consultation with an automated computer-implemented system that uses NLP techniques and large language models to analyze patent data, extract key concepts, and generate enhancement suggestions automatically, thereby reducing time loss while maintaining information completeness
Solution Approach 2:
The patent introduces an intermediary system consisting of NLP processors and large language models that mediate between the seed problem input and the enhancement suggestions output, enabling comprehensive analysis of patent data without requiring direct human intervention in the information retrieval process
2Adaptability or versatility
If prior art NLP methods are used to analyze patent data, then some technical information can be extracted, but the capability to effectively incorporate technical and environmentally sustainable innovations is limited
Solution Approach 1:
The patent changes the parameters of the NLP analysis by incorporating advanced large language models with enhanced capabilities to identify and categorize both technical and environmentally sustainable key concepts from patent data, thereby improving adaptability to generate comprehensive enhancement suggestions that include sustainability considerations
Solution Approach 2:
The patent creates a universal system that can handle multiple types of innovation analysis simultaneously - both technical advancements and environmentally sustainable innovations - through a single integrated platform that processes patent data and generates diverse enhancement suggestions across different innovation dimensions
3Measurement precision
If advanced large language models are deployed, then analysis performance and key concept extraction improve significantly, but system complexity and computational resources increase
Solution Approach 1:
The patent segments the complex large language model system into distinct functional modules including NLP processing components, key concept extraction modules, and suggestion generation systems, allowing for manageable complexity while maintaining high extraction accuracy through specialized component design
Data Source
AI summary
Technologies are described for a system and method to generate suggestions for seed problems. The system comprises one or more user devices, a database, at least one computer readable memory and at least one server comprising a processor unit. The system may be configured to receive a seed problem, identify one or more key features from the seed problem, generate one or more key concepts from the key features based on one or more of general technologies, environmentally sustainable technologies, and identified documents, and generate a set of suggestions based on user selected one or more key concepts. The system may be configured to identify the identified documents using text vectorization techniques based on the identified key features from a database. The system may be configured to further employ problem solving methodologies to analyze patterns of inventions in a global patent literature to generate the set of suggestions.