US Patent Issued to Maplebear on Nov. 25 for "Personalized machine-learned large language model (LLM)" (California, Washington Inventors)

ALEXANDRIA, Va., Nov. 25 -- United States Patent no. 12,482,021, issued on Nov. 25, was assigned to Maplebear Inc. (San Francisco).

"Personalized machine-learned large language model (LLM)" was invented by Li Tan (Fremont, Calif.), Haixun Wang (Bellevue, Wash.) and Jian Li (Santa Clara, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer system finetunes a machine-learned language model to generate a personalized response to a user request. The system may generate a user representation for each of a plurality of users by applying a transformer model to a sequence of tokens representing a sequence of activities of the user. The system may train an evaluation model coupled to receive a user repres...