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Journal Article 신경망 자동생성 지원 MLOps 기술 동향
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Authors
김선태, 조창식
Issue Date
2024-10
Citation
전자통신동향분석, v.39, no.5, pp.12-20
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2024.J.390502
Abstract
As more devices are used across various industries and their performance improves, artificial intelligence applications are being increasingly adopted. Hence, the rapid development of neural networks suitable for diverse devices can determine the competitiveness of companies. Machine learning operations (MLOps), which constitute a framework that supports neural network generation and its immediate application to devices, have become necessary for the development of artificial intelligence. Currently, most MLOps are provided by major companies such as Google, Amazon, and Microsoft, which provide cloud services supported by large-scale computing power. In addition, various services are provided by the open-source project Kubeflow. We examine basic concepts and technology trends in MLOps and unveil additional functions required in industry.
KSP Keywords
Cloud service, Computing power, Network generation, Open source, Rapid development, Technology trends, artificial intelligence applications, large-scale computing, machine Learning, neural network
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: