Productivity File Conversion for AI Model Ingestion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current AI language models struggle to effectively process input from productivity applications due to formatting issues, leading to confusion and inability to produce useful results, especially when non-text content or proprietary file formats are involved.
Innovation Solution
A conversion service is employed to reformat productivity application files into a compatible format using an API, incorporating features like language detection, translation, PII scrubbing, and data subsampling to prepare files for AI language models, ensuring scalability and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If productivity application files are submitted directly to AI language models, then the system is simple and fast, but the AI model cannot process proprietary formats and non-text content effectively
Solution Approach 1:
A conversion service is introduced as an intermediary component between the file submission interface and the AI language model. This service receives productivity application files, converts them to formats compatible with the AI model (such as text or JSON), and then submits the converted content to the model. This resolves the contradiction by enabling format versatility through the intermediary converter while keeping the main AI processing system simple and unchanged.
Solution Approach 2:
The system is segmented into distinct functional components: a file reception interface, a conversion service that handles format transformation, and the AI language model for processing. By segmenting the system this way, the patent enables support for multiple file formats without complicating the core AI model, as each component has a specific, well-defined function.
2Productivity
If files are converted to AI-compatible formats, then the AI model can process various file types effectively, but the conversion process adds time and complexity
Solution Approach 1:
The conversion service performs the format conversion as a preliminary action before the AI model receives the file. By completing the conversion step in advance, the system ensures that the AI model always receives data in the correct format, ready for immediate processing. This preliminary conversion enables the system to handle various file types effectively while minimizing delays, as the conversion is done once during submission rather than during processing.
3Loss of information
If the conversion service processes all file content, then comprehensive data is provided to the AI model, but security risks from unprocessed data increase
Solution Approach 1:
The conversion service extracts and processes only the relevant content from productivity application files, separating useful data from potentially harmful elements. By taking out and filtering the necessary information while removing or sanitizing sensitive data (such as personally identifiable information), the system provides comprehensive but safe data to the AI model, resolving the contradiction between completeness and security.
Data Source
AI summary
A data processing system for conditioning productivity application file content for ingestion by an artificial intelligence (AI) language model includes a server system hosting a conversion service, the server system comprising processing and memory resources; an Application Programming Interface (API) for the conversion service to receive productivity application files at any scale; and a format converter of the conversion service, the format converter converting a productivity application file to a format compatible with the AI language model to enable the AI language model to operate on the file content based on a user instruction submitted with the file content as output by the format converter.