Shopping guide method and system based on large language model

The invention provides a shopping guide method and system based on a large language model. The method is applied to the technical field of artificial intelligence. The method comprises the following steps: acquiring a training shopping guide demand and carried content enhancement configuration; based on the content enhancement configuration, generating a training prompt word describing a training shopping guide demand; performing semantic analysis on the training prompt words by adopting a to-be-trained large language model to determine a plurality of application program interfaces required for responding to the training shopping guide demand; based on a preset database, screening and summarizing the return results of the plurality of application program interfaces to obtain predicted shopping guide information; based on the predicted shopping guide information and the training shopping guide demand, performing parameter adjustment on the to-be-trained large language model to obtain a trained large language m