Extracting item attributes from item descriptions using large language machine-learned models

A computer program product comprising a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to perform steps comprising:

• obtaining an item description associated with an item in an item catalog;
• generating a prompt for input to a machine-learned model, the prompt specifying at least the item description and a request to identify one or more attributes of the item;
• providing the prompt to a model serving system for execution by the machine-learned model;
• receiving, from the machine-learned model, an output including a list of attributes and respective values associated with the item based on the item description;
• and
• storing the list of attributes and the respective values for the list of attributes in association with the item in the item catalog.

A computer system comprising:

• a processor;
• and
• a non-transitory computer-readable storage medium having instructions that, when executed by the processor, cause the computer system to perform steps comprising:
• obtaining an item description associated with an item in an item catalog;
• generating a prompt for input to a machine-learned model, the prompt specifying at least the item description and a request to identify one or more attributes of the item;
• providing the prompt to a model serving system for execution by the machine-learned model;
• receiving, from the machine-learned model, an output including a list of attributes and respective values associated with the item based on the item description;
• and
• storing the list of attributes and the respective values for the list of attributes in association with the item in the item catalog.