从更高的准确度获得见解:利用定制GPT中的提示工程来评估中国护士执照考试
Quantong Zhao1, Haiyan Wang2, Ran Wang1
1Department of Nursing, Lequn Branch, The First Hospital of Jilin University, Changchun, Jilin, China; School of Nursing, Jilin University, Changchun, Jilin, China.
Nurse education in practice
|February 15, 2025
概括
一个定制的生成预训练变压器 (GPT) 在中国护士执照考试中明显超过了标准的ChatGPT-4,证明了90%以上的准确性. 这种专门的人工智能对护理教育和考试准备有很大的前景.
科学领域:
- 医疗保健中的人工智能
- 护理教育 技术 技术
- 自然语言处理自然语言处理.
背景情况:
- 生成式预训练型变压器 (GPT) 在护理教育中提供了潜在的效率提升.
- 关于在护士教育中应用定制GPT模型的研究有限.
研究的目的:
- 为中国护理执照考试量身定制的GPT开发和评估.
- 与标准的ChatGPT-4相比,评估定制GPT的准确性和响应质量.
主要方法:
- 一项定量,描述性,横截面研究评估了一种定制的GPT.
- 定制GPT是使用定制知识,提示工程,检索增强生成和语义搜索来开发的.
- 绩效与ChatGPT-4进行了比较,使用来自三个模拟中国护理执照考试的720个问题.
主要成果:
- 定制的GPT在所有考试部分都取得了90%以上的准确率,超过了ChatGPT-4的73-89%的准确率.
- 与聊天GPT-4 (66-83%) 相比,定制GPT在不同类型的问题上表现优异 (准确率高于85%).
- 定制GPT提供了更简洁,更自信的答案,而ChatGPT-4则产生了更长,更不准确的猜测答案.
结论:
- 针对中国护士执照考试,定制GPT对ChatGPT具有显著的优势.
- 开发的定制GPT具有巨大的潜力,用于护理教育中的专业应用.
- 建议进一步将这种人工智能工具扩展到其他护理领域.
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