Patent ID: 11914635
Assignee: ADOBE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. A non-transitory computer readable medium storing instructions that, when executed by a processor, cause the processor to:
receive, for training a machine learning language model, training data comprising an input statement and a ground truth preference statement corresponding to the input statement, wherein the input statement comprises a critique comprising a natural language statement expressing a negative opinion and wherein the ground truth preference statement comprises a natural language statement expressing a positive preference that is an inversion of the negative opinion;
modify the input statement by generating a preference statement based on the critique using the machine learning language model, wherein the preference statement comprises a natural language statement of a positive preference corresponding to the negative opinion; and
train the machine learning language model using the preference statement and the ground truth preference statement to generate a trained machine learning model, the trained machine learning model being configured to perform a search operation to retrieve a two-dimensional image that matches a query preference statement corresponding to a user input.