Vermont Education - AI Quiz Generation System
Revolutionizing Training Material Processing with Multi-Agent LLM Architecture
Company
Vermont Education & Training Solutions
Duration
3 months
Role
AI Architect & Lead Developer
Overview
Transformed manual quiz generation process into an automated system using sophisticated multi-agent LLM architecture. The solution reduced processing time by 80% while maintaining exceptional accuracy through a carefully orchestrated system of specialized AI agents.
The Challenge
Traditional quiz generation from training materials required significant manual effort, with employees spending hours reading and creating assessments. The process was time-consuming and prone to inconsistencies, requiring a solution that could maintain high accuracy while significantly reducing processing time.
Solution
Developed a sophisticated multi-agent LLM system that processes training materials through multiple specialized stages. The system includes dedicated agents for category analysis, question generation, answer creation, and validation, all working in concert to produce high-quality quizzes.
Development Process
System Architecture Development
Created a multi-layered LLM architecture with specialized agents for different aspects of quiz generation.
Base System Implementation
Developed the foundational system with strict prompt engineering to prevent hallucination.
Implemented system-level prompts with specific constraints on training data usage
The base architecture for quiz generation
Agent Specialization
Created specialized LLM agents for different stages of the process.
Developed categorical analysis, question generation, and validation agents
Process Optimization
Implemented sophisticated validation and quality control measures.
Few-Shot Learning Implementation
Developed a robust few-shot prompting system for consistent output.
Created specialized prompts for each processing stage
Validation System
Built a comprehensive validation system for ensuring output quality.
Implemented multi-stage validation with specialized checking agents
Visual Progress
The base architecture for quiz generation
System Architecture
System Diagram 1
System Diagram 2
Final Implementation
The final platform successfully automates the entire quiz generation process, from initial text analysis to final JSON output, with comprehensive validation at each stage.
Key Features
- Automated category analysis
- Intelligent question generation
- Answer validation system
- Quality assurance checks
- JSON formatting automation
The base architecture for quiz generation
Results & Impact
80%
Time Reduction
Decrease in quiz generation time
99.9%
Accuracy Rate
Consistency in quiz generation
2 FTE
Cost Savings
Reduction in manual processing needs
Achieved an 80% reduction in quiz generation time while maintaining 99.9% accuracy. The system successfully automated a labor-intensive process while improving output quality and consistency, enabling staff to focus on higher-value training strategy development.
Key Learnings
Key insights include the importance of specialized agents for different tasks, the effectiveness of strict prompt engineering in preventing hallucinations, and the value of comprehensive validation systems in maintaining output quality.