公开(公告)号：US11734292B2

公开(公告)日：2023-08-22

申请号：US17811258

申请日：2022-07-07

申请人： Google LLC

发明人： Emanuel Taropa

IPC分类号： G06F16/24 ,  G06F16/248 ,  G06F16/28 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/2458

CPC分类号： G06F16/248 ,  G06F16/2228 ,  G06F16/2455 ,  G06F16/2474 ,  G06F16/2477 ,  G06F16/285 ,  G06F16/2465

摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing and accessing data in a cloud system. One of the methods includes receiving an identification of log data that records occurrences of events; receiving a specification of a plurality of different event types to be indexed; indexing the log data according to the specification and group identifiers; receiving a query specifying a reference parameter and requesting one or more predicted events; searching the indexed groups to identify a plurality of groups having events associated with the reference parameter; computing one or more predicted events, from the identified plurality of groups, that are most likely to co-occur in the indexed groups with events associated with the reference parameter; and providing the computed one or more predicted events.

公开(公告)号：US20220335042A1

公开(公告)日：2022-10-20

申请号：US17811258

申请日：2022-07-07

申请人： Google LLC

发明人： Emanuel Taropa

IPC分类号： G06F16/248 ,  G06F16/28 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/2458

摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing and accessing data in a cloud system. One of the methods includes receiving an identification of log data that records occurrences of events; receiving a specification of a plurality of different event types to be indexed; indexing the log data according to the specification and group identifiers; receiving a query specifying a reference parameter and requesting one or more predicted events; searching the indexed groups to identify a plurality of groups having events associated with the reference parameter; computing one or more predicted events, from the identified plurality of groups, that are most likely to co-occur in the indexed groups with events associated with the reference parameter; and providing the computed one or more predicted events.

公开(公告)号：US20240311405A1

公开(公告)日：2024-09-19

申请号：US18337316

申请日：2023-06-19

申请人： GOOGLE LLC

发明人： Seungyeon Kim ,  Ankit Singh Rawat ,  Wittawat Jitkrittum ,  Hari Narasimhan ,  Sashank Reddi ,  Neha Gupta ,  Srinadh Bhojanapalli ,  Aditya Menon ,  Manzil Zaheer ,  Tal Schuster ,  Sanjiv Kumar ,  Toby Boyd ,  Zhifeng Chen ,  Emanuel Taropa ,  Vikram Kasivajhula ,  Trevor Strohman ,  Martin Baeuml ,  Leif Schelin ,  Yanping Huang

IPC分类号： G06F16/332

CPC分类号： G06F16/3329

摘要： Implementations disclose selecting, in response to receiving a request and from among multiple candidate generative models (e.g., multiple candidate large language models (LLMs)) with differing computational efficiencies, a particular generative model to utilize in generating a response to the request. Those implementations reduce latency and/or conserve computational resource(s) through selection, for various requests, of a more computationally efficient generative model for utilization in lieu of a less computationally efficient generative model. Further, those implementations seek to achieve such benefits, through utilization of more computationally efficient generative models, while also still selectively utilizing less computationally efficient generative models for certain requests to mitigate occurrences of a generated response being inaccurate and/or under-specified. This, in turn, can mitigate occurrences of computational and/or network inefficiencies that result from a user issuing a follow-up request to cure the inaccuracies and/or under-specification of a generated response.

公开(公告)号：US12050613B1

公开(公告)日：2024-07-30

申请号：US18217900

申请日：2023-07-03

申请人： GOOGLE LLC

发明人： Emanuel Taropa ,  Ishai Rabinovitz

IPC分类号： G06F16/24 ,  G06F16/2455 ,  G06F16/2457 ,  G06F16/332 ,  G06F16/9535 ,  G06N7/01

CPC分类号： G06F16/24578 ,  G06F16/24564 ,  G06F16/3322 ,  G06F16/9535 ,  G06N7/01

摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ranking query completions based on activity session data. One of the methods includes receiving a query prefix from a user. A reference parameter for the user is obtained. One or more likely queries that are likely to co-occur with the reference parameter in user activity sessions are identified, wherein each likely query has an associated prediction score. A ranking of the one or more likely queries is provided in response to receiving the query prefix.

公开(公告)号：US20230350909A1

公开(公告)日：2023-11-02

申请号：US18350685

申请日：2023-07-11

申请人： Google LLC

发明人： Emanuel Taropa

IPC分类号： G06F16/248 ,  G06F16/28 ,  G06F16/22 ,  G06F16/2455 ,  G06F16/2458

CPC分类号： G06F16/248 ,  G06F16/285 ,  G06F16/2228 ,  G06F16/2455 ,  G06F16/2477 ,  G06F16/2474 ,  G06F16/2465

摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing and accessing data in a cloud system. One of the methods includes receiving an identification of log data that records occurrences of events; receiving a specification of a plurality of different event types to be indexed; indexing the log data according to the specification and group identifiers; receiving a query specifying a reference parameter and requesting one or more predicted events; searching the indexed groups to identify a plurality of groups having events associated with the reference parameter; computing one or more predicted events, from the identified plurality of groups, that are most likely to co-occur in the indexed groups with events associated with the reference parameter; and providing the computed one or more predicted events.

公开(公告)号：US11693863B1

公开(公告)日：2023-07-04

申请号：US16915207

申请日：2020-06-29

申请人： Google LLC

发明人： Emanuel Taropa ,  Ishai Rabinovitz

IPC分类号： G06F16/24 ,  G06F16/2457 ,  G06F16/9535 ,  G06F16/2455 ,  G06F16/332 ,  G06N7/01

CPC分类号： G06F16/24578 ,  G06F16/24564 ,  G06F16/3322 ,  G06F16/9535 ,  G06N7/01

摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ranking query completions based on activity session data. One of the methods includes receiving a query prefix from a user. A reference parameter for the user is obtained. One or more likely queries that are likely to co-occur with the reference parameter in user activity sessions are identified, wherein each likely query has an associated prediction score. A ranking of the one or more likely queries is provided in response to receiving the query prefix.

公开(公告)号：US20200084213A1

公开(公告)日：2020-03-12

申请号：US16124586

申请日：2018-09-07

申请人： Google LLC

发明人： Emanuel Taropa

IPC分类号： H04L29/06 ,  G06F17/30

摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing low-latency differential access controls in a distributed prediction system. One of the methods includes obtaining, by a root server from an authorization server, one or more permitted action types for a requester. A plurality of predicted actions that each co-occur in at least one document with a search parameter are obtained. Any actions having an action type that is not one of the one or more permitted action types for the requester is filtered from the plurality of predicted actions. One or more predicted actions having one of the permitted action types is provided to the requester.

公开(公告)号：US20200012640A1

公开(公告)日：2020-01-09

申请号：US16575058

申请日：2019-09-18

申请人： Google LLC

发明人： Emanuel Taropa

IPC分类号： G06F16/248 ,  G06F16/2458 ,  G06F16/28 ,  G06F16/22 ,  G06F16/2455

摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing and accessing data in a cloud system. One of the methods includes receiving an identification of log data that records occurrences of events; receiving a specification of a plurality of different event types to be indexed; indexing the log data according to the specification and group identifiers; receiving a query specifying a reference parameter and requesting one or more predicted events; searching the indexed groups to identify a plurality of groups having events associated with the reference parameter; computing one or more predicted events, from the identified plurality of groups, that are most likely to co-occur in the indexed groups with events associated with the reference parameter; and providing the computed one or more predicted events.

公开(公告)号：US20220245010A1

公开(公告)日：2022-08-04

申请号：US17596155

申请日：2019-09-23

申请人： GOOGLE LLC

发明人： Emanuel Taropa ,  Dragos Dena

IPC分类号： G06F11/00 ,  G06F11/34 ,  G06F11/30

摘要： Implementations identify anomalous events from indexed events. An example system receives s dimension(s) for events, a test start time and a test duration defining a test interval. The system may identify a set of events matching the dimension(s). The set includes events occurring within a test interval or within one of at least two reference intervals. The system generates, for the test interval and the reference intervals, an aggregate value for each unique combination of dimension values in the set of events. The system selects at least one of the unique combination of dimension values for anomaly detection based on a comparison of the aggregate values for the reference intervals and the test interval, and performs anomaly detection on a historical time series for the selected unique combination of dimension values. The system may report any of the selected unique combination of dimension values identified as an anomaly.

公开(公告)号：US20240311402A1

公开(公告)日：2024-09-19

申请号：US18136634

申请日：2023-04-19

申请人： GOOGLE LLC

发明人： Martin Baeuml ,  Yanping Huang ,  Wenhao Jia ,  Chang Lan ,  Yuanzhong Xu ,  Junwhan Ahn ,  Alexander Bailey ,  Leif Schelin ,  Trevor Strohman ,  Emanuel Taropa ,  Sidharth Mudgal ,  Yanyan Zheng ,  Zhifeng Chen ,  Ahmad Beirami

IPC分类号： G06F16/332 ,  G06F40/40

CPC分类号： G06F16/3322 ,  G06F16/3329 ,  G06F40/40

摘要： Implementations relate to reducing latency in generating and/or rendering natural language (NL) output generated using a large language model (LLM). Processor(s) of a system can: receive NL based input associated with a client device, and generate the NL based output utilizing the LLM. The NL based output can be a stream of NL based output in that it includes a plurality of segments, and is generated on a segment-by-segment basis. In some implementations, a first segment of the stream of NL based output is selected for inclusion in the stream of NL based output as a second segment (and any subsequent segment) is being generated to reduce latency in evaluating the NL based output as a whole prior to rendering thereof. In some versions of those implementations, the first segment is rendered as the second segment (and any subsequent segment) is being generated to further reduce latency in rendering thereof.