Design of the Program of Information Management System Based on Big Language Modeling
This paper describes an information management system based on a large language modeling to support the extraction of personalized information for different users'preferences.The system establishes self-learning labeling system and self-evaluation model based on ChatGLM big model through self-evaluation model,classification labeling system and collaborative filtering algorithm,and utilizes the refining ability of the big model and the cloud-native technology,multiplexed parallel computation to obtain the core point information of the article quickly to satisfy the purpose of individuals to obtain effective information quickly,and at the same time,through the Milvus vector database and the privatization model,the system Realize the second brain of individuals.
artificial intelligencebig language modelingrecommender systemscloud native
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