可信赖性
数学教育
心理学
计算机科学
社会心理学
出处
期刊:Nature
[Springer Nature]
日期:2023-11-15
卷期号:623 (7987): 474-477
被引量:34
标识
DOI:10.1038/d41586-023-03507-3
摘要
Researchers, educators and companies are experimenting with ways to turn flawed but famous large language models into trustworthy, accurate ‘thought partners’ for learning. Researchers, educators and companies are experimenting with ways to turn flawed but famous large language models into trustworthy, accurate ‘thought partners’ for learning.
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