• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.807-812
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• 2024

AI interprets user prompts, surveys data, and generates output. Users input natural language into the prompt in the form of a two-way conversation, and the methodology for conveying accurate intentions to AI is called prompt engineering. Generative AI was used during jewelry production ideation during a major course at H University, and the need for prompt-related research was observed during the training evaluation process. Using the prompt methodology derived from this study, we aim to reduce deviations in output and strengthen prompt capabilities for jewelry production ideas through upward standardization. As a result of applying prompting engineering through previous research, it was confirmed that there is a positive correlation between the advancement of prompts and the completeness of AI output. In the future, through this study, we hope to learn the fundamental principles of prompting and to be helpful in utilizing AI.