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Journal Article 온디바이스 소형언어모델 기술개발 동향
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Authors
김근용, 윤기하, 김량수, 류지형, 김성창
Issue Date
2024-08
Citation
전자통신동향분석, v.39, no.4, pp.82-92
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2024.J.390409
Abstract
This paper introduces the technological development trends in on-device SLMs (Small Language Models). Large Language Models (LLMs) based on the transformer model have gained global attention with the emergence of ChatGPT, providing detailed and sophisticated responses across various knowledge domains, thereby increasing their impact across society. While major global tech companies are continuously announcing new LLMs or enhancing their capabilities, the development of SLMs, which are lightweight versions of LLMs, is intensely progressing. SLMs have the advantage of being able to run as on-device AI on smartphones or edge devices with limited memory and computing resources, enabling their application in various fields from a commercialization perspective. This paper examines the technical features for developing SLMs, lightweight technologies, semiconductor technology development trends for on-device AI, and potential applications across various industries.
KSP Keywords
Computing resources, Development trends, Edge devices, Knowledge domains, Language model, Lightweight technologies, Potential applications, Semiconductor technology, Technical features, technological development, transformer model
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: