聊天GPT作为一个潜在的本科和医学院的学生
Marco Giunti1, Fabrizia Giulia Garavaglia1, Roberto Giuntini1
1University of Cagliari, Cagliari, Italy.
PloS one
|October 23, 2024
概括
在SAT和IMSAT等大学入学考试中,ChatGPT-4显著超过了ChatGPT-3.5,获得了顶级分数. 尽管有其优势,但人工智能模型表现出特定的逻辑和计算弱点.
科学领域:
- 人工智能的人工智能
- 自然语言处理自然语言处理.
- 教育技术的教育技术
背景情况:
- 大学招生越来越多地使用需要专门知识的标准化测试.
- 像ChatGPT这样的大型语言模型 (LLM) 正在迅速发展,需要进行性能评估.
- 比较不同版本的LLM,如ChatGPT-4和ChatGPT-3.5,对于理解AI发展至关重要.
研究的目的:
- 评估ChatGPT-4和ChatGPT-3.5在大学入学考试中的表现.
- 在基于知识的评估中,将AI性能与人类学生进行比较.
- 识别和分类ChatGPT-4所犯的错误,了解它的局限性.
主要方法:
- 聊天GPT-4和聊天GPT-3.5在学术评估测试 (SAT),剑桥生物医学入学测试 (BMAT) 和意大利医学院入学测试 (IMSAT) 中进行了测试.
- 绩效与人类学生得分的历史数据进行了基准测试.
- 来自ChatGPT-4的错误答案被定性分析以分类错误类型.
主要成果:
- 在所有测试的考试中,ChatGPT-4在所有测试的考试中都比ChatGPT-3.5显著提高了性能.
- 聊天GPT-4的成绩将其置于SAT的前10%之中,并通过IMSAT获得了意大利顶级医学院的资格.
- 分析显示,在ChatGPT-4的响应中,有三种不同的逻辑和计算错误.
结论:
- 聊天GPT-4在基于知识的评估方面展示了先进的功能,超过了它的前身.
- 了解人工智能错误模式是教育有效利用和发展的关键.
- 该研究强调了AI在学术环境中的潜力和局限性,为未来的应用和教育策略提供了信息.
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