Integration and Collaboration of Communication Networks and Large Models
Along with the springing up of generative artificial intelligence(AI),notably epitomized by large models(LM),the incorporation of these LMs within communication networks has attracted extensive attention in both academia and industry.An overview of the dominant deep neural network(DNN)architecture of LMs and its emerging capabilities is introduced.The significant advancements achieved by apply-ing LMs for communication networks from two aspects are discussed,namely,the mutual collaboration between AI and communications,and the deployment of network generative pre-trained transformer(NetGPT).Additionally,the imminent challenges and further work are also discussed.Considering the outstanding performance of AI/machine learning(ML)-based communication models compared to tradi-tional models,it is believed that integrating communication networks with large models and enabling them to work together can further en-hance system performance.To realize the integration and collaboration of communication networks and large models,it is essentially neces-sary to build NetGPT properly.Edge-cloud collaboration provides a good deployment solution for NetGPT.
NETL
NSTL
万方数据
