The Current State of Generative AI prompt Framework Design for Enhancing Utility in Organizational Decision-Making
Issued Date
2024-01-01
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Scopus ID
2-s2.0-85202641808
Journal Title
5th Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2024 - Proceedings
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SCOPUS
Bibliographic Citation
5th Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2024 - Proceedings (2024)
Suggested Citation
Hiranchan S., Kiattisin S. The Current State of Generative AI prompt Framework Design for Enhancing Utility in Organizational Decision-Making. 5th Technology Innovation Management and Engineering Science International Conference, TIMES-iCON 2024 - Proceedings (2024). doi:10.1109/TIMES-ICON61890.2024.10630713 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/100960
Title
The Current State of Generative AI prompt Framework Design for Enhancing Utility in Organizational Decision-Making
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Abstract
This 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.