AIGC Empowering Telecom Sector White Paper_chinese
Ye Ouyang, Yaqin Zhang, Xiaozhou Ye, Yunxin Liu, Yong Song, Yang Liu,, Sen Bian, Zhiyong Liu

TL;DR
This paper explores how GPT-based AIGC can be integrated into the telecom sector, proposing a new capability system and practical approaches to accelerate digital transformation and AI adoption in telecom infrastructure.
Contribution
It introduces the Telco Augmented Cognition capability system and discusses constructing telecom service GPTs, bridging the gap between general GPT models and telecom-specific applications.
Findings
Analysis of GPT's role in telecom scenarios
Proposal of a Telco Augmented Cognition system
Practical practices for AI integration in telecom
Abstract
In the global craze of GPT, people have deeply realized that AI, as a transformative technology and key force in economic and social development, will bring great leaps and breakthroughs to the global industry and profoundly influence the future world competition pattern. As the builder and operator of information and communication infrastructure, the telecom sector provides infrastructure support for the development of AI, and even takes the lead in the implementation of AI applications. How to enable the application of AIGC (GPT) and implement AIGC in the telecom sector are questions that telecom practitioners must ponder and answer. Through the study of GPT, a typical representative of AIGC, the authors have analyzed how GPT empowers the telecom sector in the form of scenarios, discussed the gap between the current GPT general model and telecom services, proposed for the first time a…
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Taxonomy
TopicsCognitive Computing and Networks
Methodstravel james · Attention Is All You Need · Linear Layer · Residual Connection · Byte Pair Encoding · Discriminative Fine-Tuning · Adam · Cosine Annealing · Attention Dropout · Layer Normalization
