SAS Certification Leaderboard
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 Links Hugging Face Organization