基于ChatGLM的水生动物疾病诊断智能对话系统的优化研究OA北大核心CSTPCD

Aquatic products,as one of the important sources of food,are seriously affected by diseases that occur during the aquaculture process,which can seriously affect the sustainable development of the aquaculture industry.In allusion to the problems of complex professional knowledge and low accuracy in the intelligent dialogue system for diagnosing aquatic animal diseases,an optimization method based on the ChatGLM model is proposed to improve the diagnosis of aquatic animal diseases.In the method,the expertise and accuracy of the model are improved by inserting the Adapter module into the middle layer of the ChatGLM model to fine-tune the related specialized problems.The P-tuning method is used to efficiently fine tune the input parameters,making adjustments to specific tasks more precise.By the validation on the aquatic animal disease diagnosis dialog dataset,the BLEU(bilingual evaluation understudy)index of the method is improved from 65.3%to 75.1%,which can effectively improve the accuracy and professionalism of the aquatic animal disease diagnosis intelligent dialog system and provide valuable auxiliary decision-making for aquatic animal disease diagnosis.