公开(公告)号：US10200508B2

公开(公告)日：2019-02-05

申请号：US14149327

申请日：2014-01-07

Applicant: Nvidia Corporation

Inventor： Jonathan Cohen ,  Michael Houston ,  Frank Jargstorff ,  Eric Young ,  Roy Kim

IPC: H04L29/06 ,  H04L29/08

Abstract: A special-purpose processing system, a method of carrying out sharing special-purpose processing resources and a graphics processing system. In one embodiment, the special-purpose processing system includes: (1) a special-purpose processing resource and (2) a Representational State Transfer (ReST) application programming interface operable to process data using the special-purpose processing resource in response to stateless commands based on a standard protocol selected from the group consisting of: (2a) a standard network protocol and (2b) a standard database query protocol.

公开(公告)号：US20230394232A1

公开(公告)日：2023-12-07

申请号：US17831000

申请日：2022-06-02

Applicant: Nvidia Corporation

Inventor： Hoo Chang Shin ,  Anas Zainul Abidin ,  Bo Liu ,  Carol Anderson ,  Virginia Adams ,  Jonathan Cohen

IPC: G06F40/20 ,  G06F40/40 ,  G06F16/25 ,  G06F16/242

CPC classification number: G06F40/20 ,  G06F40/40 ,  G06F16/258 ,  G06F16/243

Abstract: Systems and methods provide for training a language model on the relationships present in a structural database. Information within a structural data is processed and converted into plain text such that the relationships within the database, such as hierarchical relationships, relations, etc. are maintained and represented in a plain text format. This information may be used as training data for a language model to provide pre-training for one or more domains. The language model may then be leveraged with natural language searching in order to identify results within a search domain response to an input query.

公开(公告)号：US20240095463A1

公开(公告)日：2024-03-21

申请号：US17947946

申请日：2022-09-19

Applicant: Nvidia Corporation

Inventor： Ryan Leary ,  Jonathan Cohen

IPC: G06F40/40 ,  G06F40/284

CPC classification number: G06F40/40 ,  G06F40/284

Abstract: Approaches presented herein can provide for the performance of specific types of tasks using a large model, without a need to retrain the model. Custom endpoints can be trained for specific types of tasks, as may be indicated by the specification of one or more guidance mechanisms. A guidance mechanism can be added to or used along with a request to guide the model in performing a type of task with respect to a string of text. An endpoint receiving such a request can perform any marshalling needed to get the request in a format required by the model, and can add the guidance mechanisms to the request by, for example, prepending one or more text strings (or text prefixes) to a text-formatted request. A model receiving this string can process the text according to the guidance mechanisms. Such an approach can allow for a variety of tasks to be performed by a single model.

公开(公告)号：US20230342670A1

公开(公告)日：2023-10-26

申请号：US17727332

申请日：2022-04-22

Applicant: Nvidia Corporation

Inventor： Ryan Leary ,  Jonathan Cohen

IPC: G06N20/20 ,  G06F16/953 ,  G06F16/906

CPC classification number: G06N20/20 ,  G06F16/953 ,  G06F16/906

Abstract: Systems and methods provide a pipeline to develop and deploy machine learning models by using query/response pairs from a different machine learning model as training data. A set of model parameters are established and a trained machine learning models provides responses to input queries to develop query/response pairs. These query/response pairs may be used to train a different machine learning model. That model can be tested against the original model to determine whether they are in agreement, and when the models are in agreement the different machine learning model can be deployed as the primary model for the system.

公开(公告)号：US20150081866A1

公开(公告)日：2015-03-19

申请号：US14149327

申请日：2014-01-07

Applicant: Nvidia Corporation

Inventor： Jonathan Cohen ,  Michael Houston ,  Frank Jargstorff ,  Eric Young ,  Roy Kim

IPC: H04L29/06

CPC classification number: H04L69/03 ,  H04L67/02 ,  H04L67/1097 ,  H04L67/2828 ,  H04L67/40

Abstract: A special-purpose processing system, a method of carrying out sharing special-purpose processing resources and a graphics processing system. In one embodiment, the special-purpose processing system includes: (1) a special-purpose processing resource and (2) a Representational State Transfer (ReST) application programming interface operable to process data using the special-purpose processing resource in response to stateless commands based on a standard protocol selected from the group consisting of: (2a) a standard network protocol and (2b) a standard database query protocol.

Abstract translation: 专用处理系统，实现共享专用处理资源的方法和图形处理系统。 在一个实施例中，专用处理系统包括：（1）专用处理资源和（2）表示状态转移（ReST）应用程序编程接口，可操作以响应于无状态而使用专用处理资源处理数据 基于从由以下组成的组中选择的标准协议的命令：（2a）标准网络协议和（2b）标准数据库查询协议。