The invention relates to the technical field of computer
information processing, and provides an early warning
information quality inspection method and device based on an AI
large model, and a medium. The method comprises the following steps: inputting an early warning
service information text to be subjected to quality inspection, which is screened out according to an early warning trigger source identifier and an early warning level
label carried by a front push optimization instruction, into a pre-trained AI
large model, and executing semantic analysis mining in combination with a preset early warning field
knowledge base, outputting the core semantic elements, the potential association risk features and the logic dependency relationship; generating a dynamic semantic error correction rule base based on
semantic association mapping of the core semantic elements and the potential association risk features; using a cross-
modal semantic understanding layer of the AI
large model to execute semantic deviation recognition and correction guide
processing to obtain a semantic problem recognition result; generating early warning correction information for balancing semantic accuracy and risk
conductivity through a semantic reconstruction layer; and the push strategy generation network driven by the AI large model is input to generate a differentiated front push priority sequence.