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:
Apr. 08, 2025

Filed:

Sep. 01, 2023
Applicant:

Lynceus Sas, Paris, FR;

Inventor:

Vladislav Luzin, Pardes Hanna Karkur, IL;

Assignee:

LYNCEUS SAS, Paris, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/09 (2023.01); G06F 40/40 (2020.01); G06N 3/04 (2023.01); G06N 3/0455 (2023.01); G06N 3/0475 (2023.01); G06N 3/092 (2023.01);
U.S. Cl.
CPC ...
G06N 3/092 (2023.01); G06F 40/40 (2020.01); G06N 3/0455 (2023.01); G06N 3/0475 (2023.01);
Abstract

A method for process control in association with a production system. The method leverages a large language model (LLM) that has been trained or fine-tuned on production data in a manner that avoids or minimizes use of numerical sensor data. In particular, during training, historical sensor data is received. In lieu of using the historical sensor data to train the model directly, the data is first encoded into a grammar-based sequence of characters before it is applied to train or fine-tune the model.


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Luzin, Vladislav. (2025). Predictive system for semiconductor manufacturing using generative large language models (U.S. Patent No. 12271825). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12271825

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