Patents by Inventor Codrut Lemeni

Codrut Lemeni 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 response optimization for data pipeline generation
    Patent number: 12688197
    Abstract: A system may use a large language model (“LLM”) to generate a data pipeline. The system can receive a natural language query and a selection of a plurality of data sets for generating a data pipeline and generate a prompt comprising at least: the natural language query, indications of the plurality of data sets, an indication of a format of a first computer language, and an indication of available data transformations. The system can transmit the prompt to an LLM and receive, from the LLM, a response to the prompt in the format of the first computer language. The system can parse the response in the first computer language to identify at least an indication of one or more recommended data transformations. The system can generate, based on the indication of the one or more recommended data transformations, the data pipeline using a second computer language.
    Type: Grant
    Filed: September 6, 2024
    Date of Patent: July 21, 2026
    Assignee: Palantir Technologies Inc.
    Inventors: Morten Telling, Alexander Bailey, Richard Burdish, Ankit Shankar, Matthew Hawes, Codrut Lemeni, Nanwei Cai, Tiffany Wang, Joseph Rafidi, Kamran Khan
  • LARGE LANGUAGE MODEL RESPONSE OPTIMIZATION FOR DATA PIPELINE GENERATION
    Publication number: 20250094439
    Abstract: A system may use a large language model (“LLM”) to generate a data pipeline. The system can receive a natural language query and a selection of a plurality of data sets for generating a data pipeline and generate a prompt comprising at least: the natural language query, indications of the plurality of data sets, an indication of a format of a first computer language, and an indication of available data transformations. The system can transmit the prompt to an LLM and receive, from the LLM, a response to the prompt in the format of the first computer language. The system can parse the response in the first computer language to identify at least an indication of one or more recommended data transformations. The system can generate, based on the indication of the one or more recommended data transformations, the data pipeline using a second computer language.
    Type: Application
    Filed: September 6, 2024
    Publication date: March 20, 2025
    Inventors: Morten Telling, Alexander Bailey, Richard Burdish, Ankit Shankar, Matthew Hawes, Codrut Lemeni, Nanwei Cai, Tiffany Wang, Joseph Rafidi, Kamran Khan