Emerging trends: Smooth-talking machines

被引:2
|
作者
Church, Kenneth Ward [1 ]
Yue, Richard [1 ]
机构
[1] Northeastern Univ, Inst Experiential AI, San Jose, CA 95113 USA
关键词
Large language models; Hallucinations; ChatGPT; Responsible AI; COMPUTER;
D O I
10.1017/S1351324923000463
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Large language models (LLMs) have achieved amazing successes. They have done well on standardized tests in medicine and the law. That said, the bar has been raised so high that it could take decades to make good on expectations. To buy time for this long-term research program, the field needs to identify some good short-term applications for smooth-talking machines that are more fluent than trustworthy.
引用
收藏
页码:1402 / 1410
页数:9
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