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公开(公告)号:US20250078305A1
公开(公告)日:2025-03-06
申请号:US18043705
申请日:2022-06-20
Inventor: Lei WANG , Ying WANG , Xiaoting ZANG
IPC: G06T7/70
Abstract: The present disclosure provides a data marking method, apparatus, system, device, and storage medium, and relates to the technical field of data processing, and in particular to fields such as artificial intelligence, big data, and deep learning. The specific implementation solution is as follows: acquiring multiple pictures whose contents are continuous, wherein the multiple pictures contain at least one same object; for each object, determining a position offset of the object by using position information of the object in two adjacent pictures, wherein the two adjacent pictures include a first previous picture and a second previous picture, the second previous picture is a picture before and adjacent to a picture to be marked in time sequence; the first previous picture is a picture before and adjacent to the second previous picture in time sequence; determining estimated position information of the object in the picture to be marked based on the position information of the second previous picture and the position offset; marking the object in the picture to be marked based on the estimated position information. The present disclosure can speed up the marking of the same object in multiple pictures.
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公开(公告)号:US20250054572A1
公开(公告)日:2025-02-13
申请号:US18930048
申请日:2024-10-29
Inventor: Jie Gao , Jing Hu , Xiaomin Fang , Xiaonan Zhang
IPC: G16B15/30
Abstract: A method for protein docking includes docking a first protein and a second protein according to at least two molecular docking methods to generate a complex conformation in each round of iteration; recognizing that an iteration end condition is not satisfied, continuing a next round of iteration until the iteration end condition is satisfied, and obtaining a final complex conformation.
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公开(公告)号:US12223271B2
公开(公告)日:2025-02-11
申请号:US17874394
申请日:2022-07-27
Inventor: Zeyu Chen , Haifeng Wang , Tian Wu , Dianhai Yu , Yanjun Ma , Xiaoguang Hu
IPC: G06F40/10 , G06F40/284 , G06F40/47
Abstract: Provided are a text processing method, a device and a storage medium, relating to a field of computer technology, and especially to a field of artificial intelligence, such as natural language processing and deep learning. The specific implementation scheme includes: performing text processing on first text, by using a text processing acceleration operator; and processing, in parallel and faster, content after the text processing, by using the text processing acceleration operator. Text processing and parallel acceleration are carried out by the text processing acceleration operator, which can improve the speed of text processing.
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公开(公告)号:US12210507B2
公开(公告)日:2025-01-28
申请号:US17907465
申请日:2020-09-24
Inventor: Wei Qiang , Wengen Li , Jingying Qu , Anzhan Zhang , Cheng Liu , Li Sun
Abstract: A method for monitoring a running state of a distributed system, an electronic device, and a storage medium are provided. The method comprises: acquiring a first calling key-value pair sent by a first component in a distributed system (101); and determining the current running state of the first component according to a first keyword value, and historical calling data corresponding to a first key code value in a preset database (102).
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公开(公告)号:US12196572B2
公开(公告)日:2025-01-14
申请号:US17961930
申请日:2022-10-07
Inventor: Deguo Xia , Jizhou Huang , Haifeng Wang
IPC: G01C21/00
Abstract: The present disclosure provides a method and apparatus for automatically producing map data. The method includes: performing track rectification on crowdsourcing tracks based on corresponding standard tracks, and locating each map element included, based on depth information of track point images included in the rectified crowdsourcing tracks; comparing a latest map element obtained based on the rectified crowdsourcing tracks locating and an old map element at a corresponding locating position using a pre-built entity semantic map; determining, in response to a change in the latest map element compared to the old map element, a target processing method according to a processing standard of a changed map element pre-abstracted from a map element update specification; and processing the latest map element according to the target processing method to obtain a processed latest map.
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公开(公告)号:US20250013876A1
公开(公告)日:2025-01-09
申请号:US18889928
申请日:2024-09-19
Inventor: Xianwei XUE , Qiutong PAN , Jinchang LUO , Bolei HE , Wei HE
IPC: G06N3/0985 , G06F40/30 , G06F40/40 , G06N3/0475
Abstract: An apparatus for training a large language model includes: at least one sample text instruction is input into a target large language model to obtain at least one standard response text, and the at least one sample text instruction is input into a large language model to be trained to obtain at least one predicted response text. A first sample response text is determined from the at least one standard response text according to the score difference between a first quality score of a standard response text and a second quality score of a predicted response text. A first target training sample is generated according to the first sample response text and a sample text instruction corresponding to the first sample response text, and a training dataset is constructed according to the first target training sample.
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公开(公告)号:US20250013679A1
公开(公告)日:2025-01-09
申请号:US18889817
申请日:2024-09-19
Inventor: Jinghan ZHANG
IPC: G06F16/33 , G06F16/335
Abstract: The present disclosure provides a method and apparatus for dialogue, relates to the field of artificial intelligence technology, in particular to the field of natural language processing and deep learning technology, and can be used in application scenarios such as generative search, intelligent editing of documents, intelligent assistants, virtual assistants, or intelligent e-commerce. A specific embodiment of the method includes: determining an application scenario corresponding to user query information; acquiring user data in the application scenario; invoking a tool in the application scenario, to process the user query information and the user data to obtain a tool execution result; and generating, based on the tool execution result, answer information corresponding to the user query information.
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公开(公告)号:US20250005067A1
公开(公告)日:2025-01-02
申请号:US18745859
申请日:2024-06-17
Inventor: Yushen Chen , Guangyao Han , Lei Su , Hongda Yue , Yi Wang , Yunjing An , Lin Chang
IPC: G06F16/383 , G06F16/33 , G06F40/30
Abstract: The disclosure provides a sentence generation method based on a large language model including: obtaining a query sentence, in which the query sentence has at least one candidate description object; performing semantic recognition on the query sentence to obtain first semantic information and second semantic information corresponding to the query sentence, in which categories of the first semantic information and the second semantic information are different; inputting the at least one candidate description object and the first semantic information into the large model, to identify a target description object from the at least one candidate description object based on the large model; selecting target service data from at least one piece of service data corresponding to the target description object based on the second semantic information; and generating a reply sentence corresponding to the query sentence according to the target service data.
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公开(公告)号:US20250005053A1
公开(公告)日:2025-01-02
申请号:US18749305
申请日:2024-06-20
Inventor: Peiguo DONG , Fangfang SHI , Meiyuan DING , Huibin ZHAO
IPC: G06F16/332
Abstract: A method and an apparatus for answer feedback, which are applied to a large language model, are provided. The method includes receiving a question input by a user; generating a candidate answer set of the question by using a pre-trained large language model, and selecting an answer from the candidate answer set as a target answer, and displaying the target answer to the user; in response to receiving a feedback request for the target answer sent by the user: generating a feedback page and displaying the feedback page to the user, where content of the feedback page includes the candidate answer set; determining, in response to receiving an update request sent by the user based on the feedback page, an answer indicated by the update request from the candidate answer set as a new target answer, and displaying the new target answer to the user.
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公开(公告)号:US20250004771A1
公开(公告)日:2025-01-02
申请号:US18755148
申请日:2024-06-26
Inventor: Haifeng WANG , Hua WU , Dai DAI , Jing LIU , Hongyu LI , Gangqiang HU
Abstract: A method, apparatus, device, and medium for generating instruction data is provided. The method includes: obtaining a natural language-based reference instruction to direct a large model to generate response data meeting multiple first requirements; obtaining a structured disassembly result of the reference instruction to derive several reference slots and slot values corresponding to these requirements; determining multiple sample slots and sample slot values based on the reference slots, slot values, and a predetermined rule; and generating a natural language-based sample instruction from these sample slots and values, which directs the large model to generate response data that fulfills multiple second requirements.
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