Hiranchan S.Kiattisin S.Mahidol University2024-09-052024-09-052024-01-015th Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2024 - Proceedings (2024)https://repository.li.mahidol.ac.th/handle/20.500.14594/100960This paper proposes a novel framework that combines deep learning algorithms with reinforcement learning techniques to optimize decision-making processes in dynamic and complex environments. The framework aims to improve the accuracy, efficiency, and adaptability of AI systems in supporting strategic decision-making for organizations across various industries. Key features of generative AI prompt frameworks include the development of prompt engineering techniques, addressing technological challenges, and applying prompt engineering across various domains like entrepreneurship, art, and science. The AI PROMPT framework provides guidelines for text-to-text prompt engineering. This paper provides prompt engineering techniques and indicators to improve the overall quality and effectiveness of utility in organizational decision-making.EnergyBusiness, Management and AccountingComputer ScienceMedicineDecision SciencesConference PaperSCOPUS10.1109/TIMES-ICON61890.2024.106307132-s2.0-85202641808