在生物知识检索的背景下,对ChatGPT和Bard (Gemini) 的评估
1SRI International, Menlo Park, CA 94025, USA.
Access microbiology
|July 24, 2024
概括
像ChatGPT和Gemini这样的交谈式AI模型显示了用于研究的准确生物知识获取的局限性. 生物学家应该依赖传统来源,因为事实准确性和伪造的参考文献存在问题.
科学领域:
- 生物信息学是一种生物信息学.
- 人工智能在生物学中的应用
背景情况:
- 交谈式人工智能模型ChatGPT和Gemini提供先进的自然语言处理能力.
- 它们在研究和策划中获取生物知识的潜力在很大程度上未被评估.
研究的目的:
- 评估ChatGPT和Gemini在获取准确的生物信息方面的有效性.
- 为了比较这些AI模型为生物研究提供的答案的质量.
主要方法:
- 对ChatGPT和Gemini提出了一系列问题.
- 答案的得分是基于准确性,完整性和伪造参考文献的存在.
主要成果:
- 双子座 (13/24) 在知识检索准确度方面表现优于ChatGPT (5/24).
- 两种模型都表现出缺少信息,错误答案和伪造引用的问题.
结论:
- 当前的对话性AI模型对可靠的生物知识检索有重大局限性.
- 建议生物学家继续使用传统的科学资源,同时谨慎监测人工智能工具的开发.
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