Systems and methods for attribute extraction using generative artificial intelligence

A computer-implemented method, comprising:

• receiving an attribute extraction request identifying item element data;
• generating at least one generative prompt based on the attribute extraction request and the item element data;
• configuring at least one generative model based on the at least one generative prompt to extract a value of one or more attributes identified in the attribute extraction request;
• extracting, by the at least one generative model, the value of the one or more attributes;
• generating a final attribute set including at least a portion of the value of the one or more attributes identified in the attribute extraction request;
• and
• implementing an attribute-based automated process based on at least one attribute value in the final attribute set.

A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by at least one processor, cause at least one device to perform operations comprising:

• receiving an attribute extraction request identifying item element data;
• generating at least one generative prompt based on the attribute extraction request and the item element data;
• configuring at least large language model based on the at least one generative prompt to extract a value of one or more attributes identified in the attribute extraction request;
• extracting, by the at least one large language model, the value of the one or more attributes;
• generating a final attribute set including at least a portion of the value of the one or more attributes identified in the attribute extraction request;
• and
• implementing an attribute-based automated process based on at least one attribute value in the final attribute set.