Patents by Inventor Ethan Blake

Ethan Blake 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 artificial intelligence text evaluation system
    Patent number: 12299406
    Abstract: Relevance scores may be determined based on text included in a document. The text may be divided into a text portions, with the relevance scores being determined based on a comparison of a text portion of the plurality of text portions with a criterion specified in natural language. A subset of the plurality of text portions may be selected based on the plurality of relevance scores, with each of the subset of the plurality of text portions having a relevance score surpassing a threshold. A criteria evaluation prompt may be sent to a remote text generation modeling system via a communication interface. The criteria evaluation prompts may include an instruction to evaluate one or more of the subset of text portions against the criterion.
    Type: Grant
    Filed: April 19, 2024
    Date of Patent: May 13, 2025
    Assignee: Casetext, Inc.
    Inventors: Javed Qadrud-Din, Brian O'Kelly, Alan deLevie, Ethan Blake, Walter DeFoor, Ryan Walker, Pablo Arredondo
  • LARGE LANGUAGE MODEL ARTIFICIAL INTELLIGENCE TEXT EVALUATION SYSTEM
    Publication number: 20240289561
    Abstract: Relevance scores may be determined based on text included in a document. The text may be divided into a text portions, with the relevance scores being determined based on a comparison of a text portion of the plurality of text portions with a criterion specified in natural language. A subset of the plurality of text portions may be selected based on the plurality of relevance scores, with each of the subset of the plurality of text portions having a relevance score surpassing a threshold. A criteria evaluation prompt may be sent to a remote text generation modeling system via a communication interface. The criteria evaluation prompts may include an instruction to evaluate one or more of the subset of text portions against the criterion.
    Type: Application
    Filed: April 19, 2024
    Publication date: August 29, 2024
    Applicant: Casetext, Inc.
    Inventors: Javed Qadrud-Din, Brian O'Kelly, Alan deLevie, Ethan Blake, Walter DeFoor, Ryan Walker, Pablo Arredondo
  • Large language model artificial intelligence text evaluation system
    Patent number: 11995411
    Abstract: Relevance scores may be determined based on text included in a document. The text may be divided into a text portions, with the relevance scores being determined based on a comparison of a text portion of the plurality of text portions with a criterion specified in natural language. A subset of the plurality of text portions may be selected based on the plurality of relevance scores, with each of the subset of the plurality of text portions having a relevance score surpassing a threshold. A criteria evaluation prompt may be sent to a remote text generation modeling system via a communication interface. The criteria evaluation prompts may include an instruction to evaluate one or more of the subset of text portions against the criterion.
    Type: Grant
    Filed: June 5, 2023
    Date of Patent: May 28, 2024
    Assignee: Casetext, Inc.
    Inventors: Javed Qadrud-Din, Brian O'Kelly, Alan deLevie, Ethan Blake, Walter DeFoor, Ryan Walker, Pablo Arredondo