Generative AI and Prompt Engineering: The Art of Whispering to Let the Genie Out of the Algorithmic World
Aras Bozkurt, Ramesh C. Sharma
Abstract
The capabilities of generative AI in education, serving as a co-creator, highlight the crucial role of prompt engineering for optimal interactions between hum<strong>a</strong>n<strong>i</strong>ty and Large Language Models (LLMs) that utilize Natural Language Processing (NLP). Generative AI's potential lies in responding to well-crafted prompts, making them essential for unleashing its capabilities in generating authentic content. To optimize this process, prompt engineers, encompassing various stakeholders in education, must grasp how language nuances impact generative AI's responses. By approaching a conversational generative AI strategically, with clear purpose, tone, role, and context, a prompt-based conversational pedagogy can be established, enabling communication and interaction that facilitate teaching and learning effectively. Such approaches are crucial for harnessing generative AI's power while ensuring meaningful and contextually relevant interactions.