Case Introduction
The AI Consistency Verification System is an automated system that utilizes generative AI to verify the consistency of vehicle maintenance manuals.
A significant amount of workforce, time, and cost is required to produce various types of vehicle-related manuals in more than 10 languages.
The AI Consistency Verification System was introduced to address issues such as accumulation of inconsistent data, lack of manual consistency verification, and maintaining content uniformity in the existing manual creation process.
The AI Consistency Verification System provides features such as AI-based content validation, maintenance manual reference management, and comprehension testing.
This feature utilizes AlphaCode’s proprietary small Large Language Model (sLLM), AlphaLLM, for document validation. By leveraging RAG, it checks whether the input sentence complies with the manual guide and suggests appropriate content. AI-verified content can be stored, modified, and managed in the database.
During AI verification, the AI Consistency Verification System retrieves maintenance manuals from the database to check if the input sentence complies with the manual content. The AI then recommends appropriate content based on the maintenance manual. Related content can be stored, modified, and managed in the database.
The system provides 20 questions based on vehicle maintenance manuals to assess user comprehension. It is designed to help new employees adhere to the vehicle maintenance manual, enabling administrators to reduce training time.
AI verification standardizes the manual creation process and ensures content consistency.
By automating previously manual processes using AI, the efficiency of creating new manuals has been significantly improved.
Through comprehension testing, new employees can be trained on manuals and related content, thereby reducing training time.