Patents by Inventor Sam Grigg

Sam Grigg 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).

  • Training and utilizing language machine learning models to create structured outputs for building digital visualizations from analytics databases and digital text prompts
    Patent number: 12717811
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates a digital data visualization from data of an analytics database. In particular, in some embodiments, the disclosed systems receive a digital text prompt that includes a target digital data visualization description. Furthermore, in some embodiments the disclosed systems generate visualization token predictions from the digital text prompt utilizing a language machine learning model. Moreover, in some embodiments the disclosed systems modify the visualization token predictions to generate refined visualization tokens and generates the digital data visualization based on the refined visualization tokens.
    Type: Grant
    Filed: January 10, 2024
    Date of Patent: August 25, 2026
    Assignee: Adobe Inc.
    Inventors: Ryan A Rossi, Sungchul Kim, Tung Mai, Tong Yu, Ritwik Sinha, Prithvi Bhutani, Abhisek Trivedi, Said Kobeissi, Sam Grigg, Tyler Rasmussen, Brandon Mooso, Jordan Walker, William Brandon George
  • TRAINING AND UTILIZING LANGUAGE MACHINE LEARNING MODELS TO CREATE STRUCTURED OUTPUTS FOR BUILDING DIGITAL VISUALIZATIONS FROM ANALYTICS DATABASES AND DIGITAL TEXT PROMPTS
    Publication number: 20250225146
    Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates a digital data visualization from data of an analytics database. In particular, in some embodiments, the disclosed systems receive a digital text prompt that includes a target digital data visualization description. Furthermore, in some embodiments the disclosed systems generate visualization token predictions from the digital text prompt utilizing a language machine learning model. Moreover, in some embodiments the disclosed systems modify the visualization token predictions to generate refined visualization tokens and generates the digital data visualization based on the refined visualization tokens.
    Type: Application
    Filed: January 10, 2024
    Publication date: July 10, 2025
    Inventors: Ryan A Rossi, Sungchul Kim, Tung Mai, Tong Yu, Ritwik Sinha, Prithvi Bhutani, Abhisek Trivedi, Said Kobeissi, Sam Grigg, Tyler Rasmussen, Brandon Mooso, Jordan Walker, William Brandon George