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

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.

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Publication Details

Journal
Computer
Published
2024-08-01
DOI
https://doi.org/10.1109/mc.2024.3382073
Citations
8
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
2.78
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article

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

Richard Shan
8 citations
Computer
Topic Modeling
2.78
article

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

Richard Shan
article en
8 citations

Abstract

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.

ComputerVol. 57(8)
University of North Carolina at Charlotte (US)
Quality Education
Openalex Percentile: Top 8%
Topic Modeling
2.78
DOISourceOpenAlex
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Language Artificial Intelligence at a Crossroads: Deciphering the Future of Small and Large Language Models — Richard Shan · Computer (2024) | TGRS Research Map | TGRS