公开(公告)号：US20250005473A1

公开(公告)日：2025-01-02

申请号：US18346050

申请日：2023-06-30

Applicant: Amazon Technologies, Inc.

Inventor： Christopher Denis Scalabrini ,  Adam Julio Villalobos

IPC: G06Q10/0631

Abstract: Automated scaling-related operations may be performed dynamically during execution of a spatial simulation. A spatial partition may be locally reassigned, based on application workload information, from a first application to a second application on the same worker. A quantity of applications on a worker may also be changed during execution of a spatial simulation. A parent spatial partition may be split into child spatial partitions, and child partitions may also be merged back into a common parent partition. Indications of partition splits and merges on each of a plurality of workers may be reported to the plurality of workers. A spatial partition may also be remotely reassigned from a first worker to a second worker, such as based on worker-level resource consumption information and partition information. A quantity of workers that are used to implement a spatial simulation may also be changed during execution of the spatial simulation.

公开(公告)号：US20250005282A1

公开(公告)日：2025-01-02

申请号：US18344764

申请日：2023-06-29

Applicant: Amazon Technologies, Inc.

Inventor： John Colton Moriarty ,  Saket Dingliwal ,  Karthik Gopalakrishnan ,  Sravan Babu Bodapati ,  Katrin Kirchhoff ,  Lei Xu

IPC: G06F40/284 ,  G06F16/34

Abstract: Domain specialty instructions may be generated for performing text analysis tasks. An input text may be received for performing a text analysis task. One or more domain entities may be extracted from the input text using a machine learning model trained to recognize entities of a domain in a given text. The one or more domain entities may be inserted as part of generating instructions to perform the text analysis task using a pre-trained machine learning model fine-tuned to the domain. The pre-trained machine learning model may be caused to perform the text analysis task using the generated instructions and a result of the text analysis task may be provided.

公开(公告)号：US20250005063A1

公开(公告)日：2025-01-02

申请号：US18344739

申请日：2023-06-29

Applicant: Amazon Technologies, Inc.

Inventor： Devang Kulshreshtha ,  Saket Dingliwal ,  Sravan Babu Bodapati ,  Katrin Kirchhoff ,  Sarthak Handa

IPC: G06F16/34 ,  G06F40/169 ,  G06F40/40

Abstract: Pairs of text collections are obtained. An individual pair comprises (a) a source text collection which includes a first group of text sequences and (b) an annotated analysis result of the source text collection, comprising a second group of text sequences and a set of evidence mappings generated by an evidence mapping model. An evidence mapping indicates, for a particular text sequence of the second group, another text sequence of the first group which provides evidence for the particular text sequence. A quality metric of the model is obtained using an automated evaluation methodology in which a question is generated from the particular text sequence, and an analysis of a pair of answers (including 10 an answer generated using an evidence mapping) to the question is performed. The quality metric is provided via a programmatic interface.

公开(公告)号：US20250005058A1

公开(公告)日：2025-01-02

申请号：US18344707

申请日：2023-06-29

Applicant: Amazon Technologies, Inc.

Inventor： Sopan Khosla ,  Vinayshekhar Bannihatti Kumar ,  Rashmi Gangadharaiah

IPC: G06F16/33

Abstract: Systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. The natural language question answering service may receive the natural language question from a customer computing device. An aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. A large language model (LLM) of the natural language question answering service may receive the prompt and provide an answer. The answer may be verified by a verifier of the natural language question answering service. Attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. A watermarking module of the natural language question answering service may watermark the answer if it is verified.

公开(公告)号：US20250005052A1

公开(公告)日：2025-01-02

申请号：US18344756

申请日：2023-06-29

Applicant: Amazon Technologies, Inc.

Inventor： Sopan Khosla ,  Vinayshekhar Bannihatti Kumar ,  Rashmi Gangadharaiah ,  James W. Horsley

IPC: G06F16/332 ,  G06F16/33 ,  G06F21/16 ,  G06F40/126

Abstract: Systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. The natural language question answering service may receive the natural language question from a customer computing device. An aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. A large language model (LLM) of the natural language question answering service may receive the prompt and provide an answer. The answer may be verified by a verifier of the natural language question answering service. Attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. A watermarking module of the natural language question answering service may watermark the answer if it is verified.

公开(公告)号：US20250004863A1

公开(公告)日：2025-01-02

申请号：US18346069

申请日：2023-06-30

Applicant: Amazon Technologies, Inc.

Inventor： Christopher Denis Scalabrini ,  Adam Julio Villalobos

IPC: G06F9/52 ,  G06F9/50

Abstract: Automated scaling-related operations may be performed dynamically during execution of a spatial simulation. A spatial partition may be locally reassigned, based on application workload information, from a first application to a second application on the same worker. A quantity of applications on a worker may also be changed during execution of a spatial simulation. A parent spatial partition may be split into child spatial partitions, and child partitions may also be merged back into a common parent partition. Indications of partition splits and merges on each of a plurality of workers may be reported to the plurality of workers. A spatial partition may also be remotely reassigned from a first worker to a second worker, such as based on worker-level resource consumption information and partition information. A quantity of workers that are used to implement a spatial simulation may also be changed during execution of the spatial simulation.

公开(公告)号：US20250004648A1

公开(公告)日：2025-01-02

申请号：US18345890

申请日：2023-06-30

Applicant: Amazon Technologies, Inc.

Inventor： Enrico Sartorello ,  Jessie E Felix ,  Seth W. Markle ,  Andrew Kent Warfield ,  Leon Thrane ,  Valentin Flunkert ,  Miroslav Miladinovic ,  Christoph Bartenstein ,  James C Kirschner

IPC: G06F3/06

Abstract: An object storage system includes mass storage devices that implement general storage for objects stored in the object storage system and additionally includes other storage devices, such as solid-state drives, that provide higher performance storage access. The object storage system implements a common access interface for accessing both accelerated access objects (who are eligible to have cached copies stored on the higher performance storage devices) and non-accelerated access objects stored in the general storage. The cache is fully managed by the service and no changes are required for client applications to receive accelerated access to objects that are classified as accelerated access objects per a customer configurable acceleration policy for the object or for a bucket in which the object is stored.

公开(公告)号：US12184647B2

公开(公告)日：2024-12-31

申请号：US18058198

申请日：2022-11-22

Applicant: Amazon Technologies, Inc.

Inventor： Sujan Bolisetti ,  Shovan Kumar Das ,  Jessica Kira Szmajda ,  Harshit Kumar Tiwari ,  Bashuman Deb ,  Stephen A. Saville

IPC: H04L9/40

Abstract: Systems and methods are provided for creating and running an instance of a dynamic access control system (DACS). Trust providers may be defined in a trust broker of the DACS such that trust information associated with the trust providers can be used to create a custom data structure. Resources and resource groups may be defined in the DACS. Policies may be configured or coded in the DACS to map the custom data structure to recourses or resources groups. Additionally, policies may be configured or coded in the DACS to route the data structure and request to network segments or shared with other parties.

公开(公告)号：US12182623B1

公开(公告)日：2024-12-31

申请号：US16216691

申请日：2018-12-11

Applicant: Amazon Technologies, Inc.

Inventor： Deepak Aggarwal ,  Monishkumar Gajendran

IPC: G06F9/50

Abstract: A computing system may detect that a service, which receives a plurality of task requests associated with clients or profiles, is under duress based on performance information associated with the service. The computing system, responsive to detecting that the service is under duress, may successively, until the service is detected to not be under duress, select a profile based on a respective volume of requests associated with the profile, apply a task request limit to the profile, and detect whether the service is still under duress.

公开(公告)号：US12182498B1

公开(公告)日：2024-12-31

申请号：US17810302

申请日：2022-06-30

Applicant: Amazon Technologies, Inc.

Inventor： Monica Lakshmi Sunkara ,  Deepthi Devaiah Devanira ,  Chaitanya Shivade ,  Sravan Babu Bodapati ,  Katrin Kirchhoff ,  Srikanth Ronanki

IPC: G06F40/166 ,  G06F21/62 ,  G06F40/279 ,  G10L15/16 ,  G10L15/22

Abstract: Portions of text data generated from inverse text normalization may be redacted. Text data for redaction may be obtained. One or more inverse text normalization models may be applied to the text data to generate normalized text data. A machine learning model, trained to recognize text for redaction, may be applied to identify portions of the normalized text data for redaction. The identified portions may be redacted and the redacted normalized text provided to a destination.