MUMBAI, India, July 31 -- Intellectual Property India has published a patent application (202647084913 A) filed by International Business Machines Corporation on July 10, 2026, for Adaptive Large Language Model Training.
Inventors include Baughman, Aaron Keith; Fox, Jeremy R.; Hatfield, Jennifer Marie; and Yogaraj, Kavitha Hassan.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: Provided is a method, system, and computer program product for adaptatively training a large language model based on predicted changes in computing resources. A processor may identify data elements of computing resources for training a large language model. The identified data elements include a configured model topology. The processor may generate a forecast vector capturing a predicted change in the configured model topology over a time period. The processor may execute, using an optimization algorithm and the forecast vector, a series of optimization experiments using each training type of a plurality of training types to determine an optimal computing resource supply and demand over the time period. The processor may determine, based on the series of optimization experiments, an accuracy penalty value associated with each training type. The processor may train the large language model using a first training type that has a lowest accuracy penalty.
Disclaimer: Curated by HT Syndication.
