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:
Jun. 20, 2023

Filed:

Sep. 26, 2017
Applicant:

Clarifai, Inc., New York, NY (US);

Inventors:

Matthew Zeiler, New York, NY (US);

Daniel Kantor, New York, NY (US);

Marshall Jones, New York, NY (US);

Christopher Fox, New York, NY (US);

Assignee:

CLARIFAI, INC., New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 3/10 (2006.01); G06N 3/045 (2023.01); G06F 16/21 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/212 (2019.01); G06N 3/045 (2023.01); G06N 3/105 (2013.01);
Abstract

In some embodiments, user-selectable/connectable model representations may be provided via a user interface to facilitate artificial intelligence development. The model representations may comprises first and second machine learning model (ML) representations corresponding to first and second ML models, and non-ML model representations corresponding to non-ML models. Based on user input indicating selection of the first and second ML model representations and a non-ML model representation corresponding to a non-ML model, at least a portion of a software application may be generated such that the software application comprises (i) an instance of the first ML model, an instance of the second ML model, and an instance of the non-ML model and (ii) an input/output data path between the instance of the first ML model and at least one other instance, the at least one other instance comprising the instance of the second ML model or the instance of the non-ML model.


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