中国移动&KT:2024大语言模型驱动的AI新时代中电信运营商的思考与实践(英文版)(22页).pdf

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中国移动&KT:2024大语言模型驱动的AI新时代中电信运营商的思考与实践(英文版)(22页).pdf

1、1 2 Contents Acknowledgement.3 Abstract.4 Preface.4 KTs AI Transformation utilizing Agent and Data.4 NTT DOCOMOs Strategic Journey towards Digital Transformation and Enhanced Customer Experience.5 China Mobiles Transition to AI+to Amplify Scale Empowerment.5 1 LLM Adoption Strategies in Industry.6 2

2、 Emerging Challenges and Technical Foresights.7 2.1 AI Application Perspective.7 2.2 Data Fueling Perspective.9 3 Application Tooling Platforms.11 3.1 China Mobile Jiutian Large Language Model Application Platform.11 3.2 DOCOMO LLM Value-Added Platform.12 3.3 KT SLM/LLM Platform.13 4 Generative AI A

3、pplication Cases.14 4.1 Generative AI for Network O&M.14 4.2 Generative AI for Customer Service.17 5 Future Outlook and Industry Suggestions.21 6 Abbreviations.22 3 Acknowledgement SCFA was established in 2011 by China Mobile,Koreas KT,and Japans NTT DOCOMO,aiming to promote a tripartite cooperation

4、 framework for global technology standards and industry ecosystems.In 2022,the AI Workgroup was established,focusing on the development and application of AI technology,promoting technical exchanges among member companies,and guiding and facilitating the application and cooperation of AI technology

5、within the industry.This White Paper has been produced as a collective effort within the SCFA AI WG,and on its behalf the following editing team(listed in alphabetical order):China Mobile:Lingli Deng,Bo Yuan,Xuefeng Zhao,Xiangyang Yuan,Di Jin KT:Jiyoung Kim,Jaeho Oh NTT DOCOMO:Issei Nakamura,Kuanyin

6、 Liu,Aogu Yamada,Satomi Kura,Takeshi Kato SCFA AI WG China Mobile Contact: KT Contact: NTT DOCOMO Contact: 4 Abstract This document analyzes the challenges of scale adoption of Large Language Models(LLMs)into industrial applications,highlighting the problem of reinventing the wheel of common capabil

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