• Understanding how Monte Carlo simulations and Large Language Models can be employed to assess AI vendor capabilities, focusing on aligning with Roy Hill's strategic goals.
• Exploring the comprehensive vendor evaluation framework is developed, combining survey results with independent LLM assessments for multi-dimensional analysis.
• Looking at the Multi-Persona LLM framework is tested for problem-solving capabilities, showing improvement with prompt engineering and curated personas.
• Vendor feedback and enhanced evaluation metrics are incorporated to mitigate information asymmetry and confirmation bias.
• Debating how future research will refine methodologies, explore knowledge graphs, and develop a diverse library of personas to enhance AI capability assessments.