MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202617089865 A) filed by Gdm Holding LLC on July 23, 2026, for Fast And Slow Adaptation For Language Model Predictive Control And/Or Guidance.
Inventors include Parada, Carolina; Zeng, Andy; Ichter, Brian; Yu, Wenhao; Xia, Fei; and Liang, Qiao.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: Implementations relate to improving the "teachability" of foundation models to generate (e.g., predict) actions based on iterative human feedback. During in-context learning—e.g., a chat session between a human and a robot—the human's natural language may be processed using a generative model to generate candidate future dialogs. Each dialog turn may include a predicted robot action and a predicted human response. The candidate future dialog satisfying a criterion may be selected, and the predicted robot action from the next turn of the selected candidate future dialog may be used to operate a real/simulated robot to perform the first selected robot action. A human natural language evaluation of the robot's operation may once again be processed using the generative model, and the process may repeat until the human expresses approval. In some implementations, a recording of the chat session may be used as training data to fine-tune the generative model.
Disclaimer: Curated by HT Syndication.
