Volume
62
Issue
3
Abstract
The prevalence of Generative AI (GenAI) and Large Language Models (LLMs) is increasing rapidly. For Extension professionals, the utilization of prompt engineering is key to leveraging GenAI and LLMs effectively. Prompt engineering involves crafting prompts that elicit desired LLM responses. This article discusses prompt engineering principles, providing examples and guidance. The application of prompt engineering in Extension is explored, showcasing its potential to enhance programs, deliver personalized advice, engage audiences, and disseminate research-based information. By learning prompt engineering skills, Extension professionals can harness the power of GenAI and LLMs, enhancing their ability to address complex challenges in the 21st century.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Recommended Citation
Hill, P. A., Narine, L. K., & Miller, A. L. (2024). Prompt Engineering Principles for Generative AI Use in Extension. The Journal of Extension, 62(3), Article 20. https://open.clemson.edu/joe/vol62/iss3/20
Included in
Business Law, Public Responsibility, and Ethics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Other Computer Engineering Commons
