ALEXANDRIA, Va., Aug. 25 -- United States Patent no. 12,718,102, issued on Aug. 25, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).
"Low-rank adaptation of neural network models" was invented by Weizhu Chen (Kirkland, Wash.), Jingfeng Hu (Redmond, Wash.), Yelong Shen (Redmond, Wash.), Shean Wang (Sammamish, Wash.) and Yabin Liu (Kirkland, Wash.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A computer implemented method obtains neural network-based model base model weight matrices for each of multiple neural network layers. First low-rank factorization matrices are added to corresponding base model weight matrices to form a first domain model. The low-rank factorization matrices are trea...