Patents by Inventor Frederick QIN

Frederick QIN 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).

  • Large language model architecture to leverage public and private data
    Patent number: 12505134
    Abstract: Aspects of the disclosure include methods and systems for an intelligent chat powered by a large language model that leverages both public and private data to answer user questions. An exemplary method includes receiving a user query including natural language input from a user and executing the user query against at least one public data source and at least one private data source. Queries executed against a public source are retrieved using public search indices and queries executed against a private data source are retrieved using user credentials. A query rewrite and a query context including the user query and retrieved information from the public and private data sources are input to a large language model. A response is received from the large language model that includes a natural language answer to the user query and a link to the retrieved information.
    Type: Grant
    Filed: January 5, 2024
    Date of Patent: December 23, 2025
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jamie Olson, Wenjin Xu, Frederick Qin, Qiwen Guo, Li Li, Rui Min, Bing Li
  • LARGE LANGAUGE MODEL ARCHITECTURE TO LEVERAGE PUBLIC AND PRIVATE DATA
    Publication number: 20250225163
    Abstract: Aspects of the disclosure include methods and systems for an intelligent chat powered by a large language model that leverages both public and private data to answer user questions. An exemplary method includes receiving a user query including natural language input from a user and executing the user query against at least one public data source and at least one private data source. Queries executed against a public source are retrieved using public search indices and queries executed against a private data source are retrieved using user credentials. A query rewrite and a query context including the user query and retrieved information from the public and private data sources are input to a large language model. A response is received from the large language model that includes a natural language answer to the user query and a link to the retrieved information.
    Type: Application
    Filed: January 5, 2024
    Publication date: July 10, 2025
    Inventors: Jamie OLSON, Wenjin XU, Frederick QIN, Qiwen GUO, Li LI, Rui MIN, Bing LI