"Harnessing ChatGPT-4 Turbo: Optimizing Real-time and Historical Data Integration for Accurate NFL Quiz Question Generation" aims to advance educational technology by leveraging the sophisticated capabilities of ChatGPT-4 Turbo. This research focuses on enhancing prompt engineering techniques and implementing a rigorous method for ensuring the accuracy and uniqueness of quiz questions generated from both live and historical National Football League (NFL) data. The study endeavors to discover the most effective prompting strategies that enable ChatGPT-4 Turbo to produce content that is both accurate and responsive to the evolving nature of real-time sports events. It employs a feedback mechanism that utilizes ChatGPT-4 Turbo to evaluate the clarity, precision, and formatting of questions, thereby optimizing the generation process. A key innovation of this project is the use of a structured finite state machine, built upon the Large Language Model (LLM) that powers ChatGPT-4 Turbo, to verify the historical accuracy of generated questions. This mechanism provides an integral data validation step. For generating questions based on live data, such as recent game statistics, the system necessitates the input of real-time information into the model. This approach highlights the challenges and potential costs associated with real-time data verification compared to historical data checking. The anticipated outcomes of this research include gaining insights into the efficacy of ChatGPT-4 Turbo in processing and integrating real-time data, establishing best practices for AI-prompt interaction, and developing a versatile framework that can be applied to other domains requiring real-time data processing and educational content creation. This project aims to narrow the gap between the theoretical potential of AI and its practical application in the context of sports analytics and quiz question generation, thereby enriching the educational technology landscape.

Recommended Citation: Karels M., Guinn C., Layman L., Matthews K., (2024). Harnessing ChatGPT-4 Turbo: Optimizing Real-Time and Historical Data Integration for Accurate NFL Quiz Question Generation. UNCW MS CSIS Proceedings. V. 18 , N. 1 .