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1、1/92Executive SummaryDriven by the joint effort of key technologies such as big data and cloudcomputing,a sizable number of the generative pre-trained transformer(GPT)largemodels,represented by ChatGPT,have emerged,showing highly creative contentgeneration capabilities and providing highly intellige
2、nt human-computer interactionexperience.For a long time,there have been many technical problems incommunication that are difficult to model accurately or solve efficiently usingtraditional methods.Meanwhile,GPT demonstrates the potential to improve theperformance of information communication service
3、s and intelligent autonomousnetworks.In addition,the rapid development and broad applications of GPT also needto be supported by a communication network with large bandwidth,low latency,andhigh reliability.Therefore,from the perspective of communication practitioners,this white paperexplores the int
4、errelationship between GPT and communication.Firstly,Chapter 1sketches the concept,development process,and research status of GPT large models.Secondly,Chapter 2 discusses the new applications of GPT in the communicationindustry,and the position of GPT in network intelligent autonomy.Thirdly,Chapter
5、 3explores how the communication networks enable the broad applications of GPT,andgives a typical idea of future network design.Moreover,Chapter 4 analyzes theprocess of GPT and communication from independent evolution to collaborativedevelopment,as well as applications of“6G+GPT”empowering the digi
6、taltransformation of industries.In addition,Chapter 5 points out the five most obviousproblems and challenges in the integration process of“GPT+Communication”andprovides some solutions.Subsequently,Chapter 6 puts forward several suggestions onhow GPT and the communication industry can develop togeth