Patents by Inventor Sam Oates

Sam Oates 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: 20250005303
    Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.
    Type: Application
    Filed: September 10, 2024
    Publication date: January 2, 2025
    Inventors: Matthew K. Gray, John Blitzer, Corinn Herrick, Srinivasan Venkatachary, Jayant Madhavan, Sam Oates, Phiroze Parakh, Aditya Shah, Mahsan Rofouei, Ibrahim Badr
  • Patent number: 12118325
    Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.
    Type: Grant
    Filed: August 9, 2023
    Date of Patent: October 15, 2024
    Assignee: GOOGLE LLC
    Inventors: Matthew K. Gray, John Blitzer, Corinn Herrick, Srinivasan Venkatachary, Jayant Madhavan, Sam Oates, Phiroze Parakh, Aditya Shah, Mahsan Rofouei, Ibrahim Badr
  • Publication number: 20240220735
    Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.
    Type: Application
    Filed: August 9, 2023
    Publication date: July 4, 2024
    Inventors: Matthew K. Gray, John Blitzer, Corinn Herrick, Srinivasan Venkatachary, Jayant Madhavan, Sam Oates, Phiroze Parakh, Aditya Shah, Mahsan Rofouei, Ibrahim Badr
  • Patent number: 11900068
    Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.
    Type: Grant
    Filed: August 9, 2023
    Date of Patent: February 13, 2024
    Assignee: GOOGLE LLC
    Inventors: Matthew K. Gray, John Blitzer, Corinn Herrick, Srinivasan Venkatachary, Jayant Madhavan, Sam Oates, Phiroze Parakh, Aditya Shah, Mahsan Rofouei, Ibrahim Badr
  • Patent number: 11886828
    Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.
    Type: Grant
    Filed: August 22, 2023
    Date of Patent: January 30, 2024
    Assignee: GOOGLE LLC
    Inventors: Matthew K. Gray, John Blitzer, Corinn Herrick, Srinivasan Venkatachary, Jayant Madhavan, Sam Oates, Phiroze Parakh, Aditya Shah, Mahsan Rofouei, Ibrahim Badr
  • Patent number: 11769017
    Abstract: At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.
    Type: Grant
    Filed: March 20, 2023
    Date of Patent: September 26, 2023
    Assignee: GOOGLE LLC
    Inventors: Matthew K. Gray, John Blitzer, Corinn Herrick, Srinivasan Venkatachary, Jayant Madhavan, Sam Oates, Phiroze Parakh, Aditya Shah, Mahsan Rofouei, Ibrahim Badr