US Patent Issued to Red Hat on Oct. 27 for "Content matching attribution based on a content recommendation from a generative AI model" (North Carolina Inventors)

ALEXANDRIA, Va., Oct. 27 -- United States Patent no. 12,775,854, issued on Oct. 27, was assigned to Red Hat Inc. (Raleigh, N.C.).

"Content matching attribution based on a content recommendation from a generative AI model" was invented by Matthew Wayne Jones (Durham, N.C.), Scott Robinson Harwell (Raleigh, N.C.), Richard Gebhardt (Raleigh, N.C.) and Brian Lee King (Raleigh, N.C.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques that provide source metadata associated with code recommendations generated by an automation controller are described. A training data set comprising queries, code recommendations and source metadata associated with each of the code recommendations may be stripped of the source...