Intellectual Property India Publishes Patent Application for 'Systems And Methods For Programmatic Labeling Of Training Data For Machine Learning Models Via Clustering And Language Model Prompting' Filed by Snorkel AI, Inc.

MUMBAI, India, Aug. 22 -- Intellectual Property India has published a patent application (202517046090 A) filed by Snorkel AI, Inc., Redwood City, U.S.A., on May 13, for 'systems and methods for programmatic labeling of training data for machine learning models via clustering and language model prompting.'

Inventor(s) include Smith, Ryan, Nathaniel; Fowler, Bradley, Ryan; Poms, Fait; Iyer, Naveen; Hancock, Braden; and Malani, Roshni.

The application for the patent was published on Aug. 22, under issue no. 34/2025.

According to the abstract released by the Intellectual Property India: "Embodiments introduce an approach to semi-automatically generate labels for data based on implementation of a clustering or language model prompting technique and can be used to implement a form of programmatic labeling to accelerate the development of classifiers and other forms of models. The disclosed methodology is particularly helpful in generating labels or annotations for unstructured data. In some embodiments, the disclosed approach may be used with data in the form of text, images, or other form of unstructured data."

The patent application was internationally filed on Nov. 14, 2023, under International application No.PCT/US2023/037245.

Disclaimer: Curated by HT Syndication.