适应性
领域(数学)
动作(物理)
质量(理念)
计算机科学
读写能力
信息素养
工程伦理学
数据科学
软件工程
知识管理
工程管理
工程类
心理学
万维网
管理
认识论
教育学
哲学
物理
数学
量子力学
纯数学
经济
标识
DOI:10.1080/10875301.2023.2227621
摘要
The novel discipline of prompt-engineering is a combination of artificial intelligence, linguistics, and user experience design. Crafting effective prompts for AI models like OpenAI’s GPT can optimize the quality of generated output, especially in reference services. The article explains the CLEAR Framework—a guiding tool that incorporates principles of conciseness, logic, explicitness, adaptability, and reflectiveness in prompt crafting. Despite challenges including biases, ethical concerns, and keeping up with rapidly evolving AI capabilities, the field also presents opportunities for growth. The article concludes with a call to action for library professionals to embrace and master prompt-engineering as an essential skill.
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