公开(公告)号：US20230267285A1

公开(公告)日：2023-08-24

申请号：US17666158

申请日：2022-02-07

Applicant: NVIDIA Corporation

Inventor： Xianchao Wu ,  Yi Dong ,  Peiying Ruan ,  Simon See ,  Scott Nunweiler

IPC: G06F40/58 ,  G06F40/166 ,  G06F40/263 ,  G06N3/08

CPC classification number: G06F40/58 ,  G06F40/166 ,  G06F40/263 ,  G06N3/08

Abstract: Apparatuses, systems, and techniques to translate a text string. In at least one embodiment, a text string is translated by at least, for example, using one or more neural networks to determine a length of a translated text string before a text string is to be translated.

公开(公告)号：US20250014571A1

公开(公告)日：2025-01-09

申请号：US18347031

申请日：2023-07-05

Applicant: NVIDIA Corporation

Inventor： Xianchao Wu ,  Yi Dong ,  Scott Nunweiler

IPC: G10L15/06 ,  G10L13/047 ,  G10L15/16

Abstract: Disclosed are systems and techniques for training machine learning models. The techniques include providing a first data of a first modality as input to a first machine learning model to obtain a first output of a second modality, providing the first output of the second modality as input to a second machine learning model to obtain a second output of the first modality, providing the first data as input to a third machine learning model to obtain a first tensor, providing the second output as input to the third machine learning model to obtain a second tensor, calculating a first loss based on a comparison between the first tensor and the second tensor, and causing the first machine learning model to be modified based on the first loss.

公开(公告)号：US20250022457A1

公开(公告)日：2025-01-16

申请号：US18349716

申请日：2023-07-10

Applicant: NVIDIA Corporation

Inventor： Xianchao Wu ,  Scott Nunweiler ,  Yang Zhang

IPC: G10L15/065 ,  G10L15/16

Abstract: Disclosed are systems and techniques for training machine learning models. The techniques include generating, using a first automatic speech recognition (ASR) model, a first text output based on a vector representation of a first speech data and generating, using a second ASR model, a second text output, wherein the second ASR model adds noise to a vector representation of the first text output to obtain a noisy vector representation of the first text output and is trained to remove the noise from the noisy vector representation of the first text output. The techniques include calculating a first loss of the second ASR model based at least on a comparison between the second text output and the first text output and modifying learnable parameters of the second ASR model to improve an accuracy of the second ASR model.

公开(公告)号：US20240144373A1

公开(公告)日：2024-05-02

申请号：US18051206

申请日：2022-10-31

Applicant: NVIDIA Corporation

Inventor： Xianchao Wu ,  Yi Dong ,  Scott Nunweiler

IPC: G06Q40/06 ,  G06N3/08

CPC classification number: G06Q40/06 ,  G06N3/08

Abstract: In various examples, interactive systems that use neural networks to determine financial investment predictions or recommendations are presented. Systems and methods are disclosed that determine financial predictions or recommendations associated with one or more investments using a neural network(s). The financial predictions may include a predicted movement of an investment (e.g., extremely down, down, preserved, up, extremely up, etc.), a predicted price of an investment (e.g., a future stock price, etc.), a specific investment for a user to buy/sell/trade, and/or so forth. In some examples, the systems and methods may include an interactive system(s), such as a dialogue system(s), that interacts with users to provide the financial predictions.