Description
Comprehensive automation project that leverages Large Language Models (LLMs) to evaluate SAS certification exams. This initiative resulted in the creation of a competitive leaderboard and the fine-tuning of a Llama 3.3 70B model using DeepResearch technology from Claude, covering all topics included in the SAS certification exam.
Technologies Used
- Large Language Models (LLMs)
- Llama 3.3 70B
- Claude DeepResearch
- Hugging Face
- SAS (Statistical Analysis System)
- Machine Learning
- Model Fine-tuning
- Automated Evaluation Systems
Key Features
- Automated Exam Evaluation: LLM-powered system to assess SAS certification knowledge
- Competitive Leaderboard: Real-time ranking system for exam performance
- Fine-tuned Model: Custom Llama 3.3 70B model trained on comprehensive SAS topics
- DeepResearch Integration: Utilized Claude’s DeepResearch for thorough topic coverage
- Comprehensive Coverage: Includes all SAS certification exam topics
- Performance Metrics: Detailed analytics and scoring mechanisms
Project Outcomes
- Successfully automated the SAS exam evaluation process
- Created a transparent leaderboard system for competitive assessment
- Developed a specialized fine-tuned model for SAS-related queries
- Comprehensive knowledge base covering all SAS certification topics