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:
Mar. 01, 2022

Filed:

Mar. 10, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Yan Luo, Concord, CA;

Liujia Shao, Markham, CA;

Yan Xu, Richmond Hill, CA;

Sibin Fan, Markham, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2018.01); G06F 8/33 (2018.01); G06N 3/02 (2006.01); G06N 20/00 (2019.01); G06F 8/73 (2018.01);
U.S. Cl.
CPC ...
G06F 8/33 (2013.01); G06F 8/73 (2013.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01);
Abstract

In an approach to creating code snippet auto-commenting models utilizing a pre-training model leveraging dependency data, one or more computer processors create a generalized pre-training model trained with one or more dependencies and one or more associated dependency embeddings, wherein dependencies include frameworks, imported libraries, header files, and application programming interfaces associated with a software project. The one or more computer processors create a subsequent model with a model architecture identical to the created pre-training model. The one or more computer processors computationally reduce a training of the created subsequent model utilizing one or more trained parameters, activations, memory cells, and context vectors contained in the created pre-training model. The one or more computer processors create deploy the subsequent model to one to more production environments.


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