Language Artificial Intelligence at a Crossroads: Deciphering the Future of Small and Large Language Models

被引：1
作者：
Shan, Richard
机构：
来源：
COMPUTER | 2024年 / 57卷 / 08期
关键词：
Large language models; Computational modeling; Focusing; Collaboration; Guidelines;
D O I：
10.1109/MC.2024.3382073
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article explores the future of language models, focusing on the development and growth of large and small language models. It advocates for interdisciplinary collaboration, responsibility guidelines, educational initiatives, sustainable practices, and effective governance to ensure that these technologies benefit society in the long run.
引用
收藏
页码：26 / 35
页数：10
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