MULTI-STEP LANGUAGE MODEL ENSEMBLE METHOD FOR ITEM ATTRIBUTE EXTRACTION
Dossier Overview
Applicant
Maplebear Inc.
Inventor
Aomin Wu; Paul Harrison Baranowski
IPC Classification
CPC Classification
An online system automatically identifies item attributes of an item. The online system prompts a set of outputs from a set of multi-modal large language models with an image of the product and a request to determine if the details of size information is present in the image. The online system receives a set of outputs, wherein an output describes whether the size information is present in the image. The system then prompts the set of language models with a request to extract the value of the size information in the image. Responsive to determining that a threshold number of outputs have matching values of size information that is present in the image, the system updates the item attribute data with the matching values of size information of the product.
Original (Chinese)
An online system automatically identifies item attributes of an item. The online system prompts a set of outputs from a set of multi-modal large language models with an image of the product and a request to determine if the details of size information is present in the image. The online system receives a set of outputs, wherein an output describes whether the size information is present in the image. The system then prompts the set of language models with a request to extract the value of the size information in the image. Responsive to determining that a threshold number of outputs have matching values of size information that is present in the image, the system updates the item attribute data with the matching values of size information of the product.
External Resources