摘要
结合当前大语言模型增强技术研究进展,提出了基于双通道理论的通信认知增强技术框架(telecom augmented cognition architecture,TACA),解决大语言模型在通信领域应用中专业知识不足、推理能力有限等问题,实现面向通信复杂问题的认知推理增强、知识融合增强、模型工具增强和自主决策执行增强等应用能力。针对不同的通信业务场景给出了相应技术应用参考,并通过实验初步验证认知增强方案在解决复杂问题方面的有效性和可行性。因此,所提出的通信认知增强技术框架可作为未来通信行业大语言模型应用的参考框架。
Incorporating the current works in augmented large language models(LLM),a dual process theory based telecom augmented cognition architecture(TACA)was proposed.This architecture addressed challenges faced by LLM in the field of telecom,such as lack of domain-specific knowledge and limited reasoning capabilities.It aims to enhance cognitive reasoning,knowledge integration,tooling,and autonomous decision-execution capabilities for complex telco-scenarios.Technical application references for different telco-scenarios were provided,and the effec-tiveness and feasibility of the augmented cognition solution were preliminarily validated in addressing complex problems through experiments.The proposed TACA can serve as a future reference architecture for the application of LLMs in the telecom industry.
作者
廉霄兴
宋勇
朱军
王淑玲
叶晓舟
欧阳晔
LIAN Xiaoxing;SONG Yong;ZHU Jun;WANG Shuling;YE Xiaozhou;OUYANG Ye(AsiaInfo Technologies(China)Co.,Ltd.,Beijing 100193,China)
出处
《电信科学》
北大核心
2024年第1期123-135,共13页
Telecommunications Science
关键词
大语言模型
认知增强
双通道理论
自主决策执行
电信网络
large language model
augmented cognition
dual process theory
autonomous decision and execution
telecommunication network
