Patents by Inventor Kabir Nagrecha

Kabir Nagrecha has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240354585
    Abstract: A computer-implemented method for leveraging reinforcement learning to optimize data ingestion in a deep learning recommender model training pipeline. For example, the discussed methods and systems introduce a reinforcement learning agent into a deep learning recommender model data ingestion pipeline to avoid many symptoms of an un-optimized data ingestion pipeline including, but not limited to, out-of-memory errors, un-optimized user-defined-functions in the data ingestion pipeline, and poor responses to machine re-sizing. The discussed methods and systems teach the reinforcement learning agent to make resource allocation choices within the data ingestion pipeline that are motivated by outcomes that reduce pipeline latency and memory usage. Various other methods, systems, and computer-readable media are also disclosed.
    Type: Application
    Filed: April 9, 2024
    Publication date: October 24, 2024
    Inventors: Kabir Nagrecha, Lingyi Liu, Pablo A. Delgado Aqueveque, Prasanna Padmanabhan