The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 21, 2026

Filed:

Sep. 06, 2024
Applicant:

Palantir Technologies Inc., Denver, CO (US);

Inventors:

Morten Telling, Copenhagen, DK;

Alexander Bailey, London, GB;

Richard Burdish, New York, NY (US);

Ankit Shankar, San Francisco, CA (US);

Matthew Hawes, Denver, CO (US);

Codrut Lemeni, London, GB;

Nanwei Cai, New York, NY (US);

Tiffany Wang, Brooklyn, NY (US);

Joseph Rafidi, Mountain View, CA (US);

Kamran Khan, London, GB;

Assignee:

Palantir Technologies Inc., Aventura, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/25 (2019.01); G06F 16/242 (2019.01);
U.S. Cl.
CPC ...
G06F 16/258 (2019.01); G06F 16/243 (2019.01);
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.


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