Research on Intelligent Agent Framework Technology for Business-oriented Large Models
In recent years,large language model(LLM)technology has been flourishing and has made significant progress in general fields.However,the lack of training data in key areas such as military and government affairs has made it difficult for large models in specialized domains to meet user needs,particularly in terms of weakened intelligent agent functions that struggle to understand business requirements and select appropriate models,leading to a bottleneck in the dispatching capability of large models in business areas.This paper proposes a business-oriented intelligent agent framework for large language models,which,through business template configuration,captures user needs,maps business processes,and intelligently dispatches business resources(intelligent models,system functions,data,knowledge,etc.),effectively alleviating the issues of difficult user intent understanding and the challenge of general models rapidly supporting complex tasks.A prototype system is designed and validated in typical scenarios.Experimental results show that the business-oriented fine-tuning approach can effectively enhance the precision of large models in dispatching complex business processes.
large language modelintelligent agent frameworkintelligent dispatching
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