AI Prompt Template Service for Secure Business Summarization
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Solution Overview
Problem
The integration of Large Language Models (LLMs) in business operations is hindered by the challenge of creating effective prompts, which is often complex and poses privacy and security risks, requiring specialized professionals like prompt engineers, and lacks user-friendly solutions for non-technical users.
Innovation Solution
A generative artificial intelligence service that provides pre-generated, industry-specific prompt templates, allowing users to select and integrate data into these templates, generating prompts that are accessible to non-technical users and ensuring secure data handling through a multi-tenant system with integrated generative AI gateways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual contextual data entry into LLM is performed, then prompt customization and effectiveness are improved, but privacy and security risks increase
Solution Approach 1:
The patent introduces a prompt template system that acts as an intermediary between users and LLMs. Pre-defined templates with contextual placeholders allow users to generate effective prompts without manually entering sensitive contextual data into the LLM, thus maintaining prompt effectiveness while reducing privacy and security risks
Solution Approach 2:
The system performs preliminary action by pre-defining prompt templates with appropriate contextual structures before actual use. This allows the system to prepare secure, effective prompt frameworks in advance, eliminating the need for users to manually input contextual data during actual LLM interactions
2Manufacturing precision
If prompt engineering services are provided by specialized professionals, then prompt quality and LLM response accuracy are improved, but system complexity and operational difficulty increase
Solution Approach 1:
The patent implements self-service by enabling users to generate high-quality prompts themselves through the template system. Users can select appropriate templates and fill in their own data without requiring specialized prompt engineering knowledge, thus maintaining prompt quality while reducing system complexity and operational difficulty
Solution Approach 2:
The system uses copying by providing pre-crafted prompt templates that have been optimized by experts. Users can copy these proven templates and simply replace placeholders with their own data, achieving expert-level prompt quality without requiring users to become prompt engineering specialists
3Ease of operation
If generic prompt templates are used, then ease of use is improved, but prompt effectiveness and relevance to specific industries decrease
Solution Approach 1:
The patent applies local quality by creating industry-specific prompt templates tailored to different domains (e.g., healthcare, finance, legal). Each template is customized with relevant contextual placeholders and instructions specific to that industry, maintaining both ease of use through template selection and effectiveness through domain-specific optimization
Data Source
AI summary
The present disclosure provides a summarization service that delivers pre-generated prompt templates to users of a multi-tenant system. The summarization service displays prompt template options to a tenant in a multi-tenant system based on prompt template identifiers contained in a data object selected by the tenant and corresponding to a use case. In response to selection of one of the prompt template options by the tenant, the summarization service retrieves a prompt template from a prompt template database. The summarization service then integrates data from the data object into the prompt template to produce a generative AI prompt. The summarization service obtains an output from a generative AI system based on the generative AI prompt.