US Patent Issued to SEEKR Technologies on May 6 for "Agentic workflow system and method for generating synthetic data for training or post training artificial intelligence models to be aligned with domain-specific principles" (Virginia Inventors)

ALEXANDRIA, Va., June 10 -- United States Patent no. 12,293,272, issued on May 6, was assigned to SEEKR Technologies Inc. (Vienna, Va.).

"Agentic workflow system and method for generating synthetic data for training or post training artificial intelligence models to be aligned with domain-specific principles" was invented by Stefanos Poulis (Vienna, Va.), Andrew J. Bauer (Vienna, Va.), Diego A. Mesa (Vienna, Va.), Robin J. Clark (Vienna, Va.) and Patrick C. Condo (Vienna, Va.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An agentic workflow system and method generate question and answer pairs and prompts that may be used to aligns generative artificial intelligence (a large language model (LLM) or a large m...