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. 03, 2026

Filed:

Sep. 12, 2023
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Yen-Chang Hsu, Fremont, CA (US);

Harshavardhan Kamarthi, Atlanta, GA (US);

Yilin Shen, Santa Clara, CA (US);

Hongxia Jin, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 16/9032 (2019.01); G06F 40/166 (2020.01); G06F 40/216 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06N 3/0455 (2023.01); G06N 3/0499 (2023.01); G06N 3/084 (2023.01); G06N 3/09 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01);
U.S. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 16/90332 (2019.01); G06F 40/166 (2020.01); G06F 40/284 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06N 3/0455 (2023.01); G06N 3/0499 (2023.01); G06N 3/084 (2013.01); G06N 3/09 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06F 40/216 (2020.01);
Abstract

A method includes receiving an input for a large language model (LLM) from a user. The method also includes generating one or more token embeddings based on the input. The method further includes generating one or more prompt embeddings based on the input using a contextual prompt generator (CPG), the one or more prompt embeddings representing new or updated information that is not contained in existing knowledge of the LLM. The method also includes providing the one or more token embeddings and the one or more prompt embeddings to the LLM. In addition, the method includes outputting a prediction based on the one or more token embeddings and the one or more prompt embeddings using the LLM, wherein the prediction reflects the new or updated information represented by the one or more prompt embeddings.


Find Patent Forward Citations

Loading…