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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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Patent Agency Ranking
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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公开(公告)号：US12183323B2
公开(公告)日：2024-12-31
申请号：US17644749
申请日：2021-12-16
Inventor： Xiaoyin Fu , Mingxin Liang , Zhijie Chen , Qiguang Zang , Zhengxiang Jiang , Liao Zhang , Qi Zhang , Lei Jia
IPC: G10L15/02 , G10L15/16 , G10L19/032
Abstract: The present disclosure provides a method of recognizing speech offline, electronic device, and a storage medium, relating to a field of artificial intelligence such as speech recognition, natural language processing, and deep learning. The method may include: decoding speech data to be recognized into a syllable recognition result; transforming the syllable recognition result into a corresponding text as a speech recognition result of the speech data.
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公开(公告)号：US20240430434A1
公开(公告)日：2024-12-26
申请号：US18749540
申请日：2024-06-20
Inventor： Jian ZOU
IPC: H04N19/137 , H04N19/119 , H04N19/154
Abstract: A method and apparatus for predicting motion vector for inter-frame encoding are provided. An implementation scheme of the method includes: acquiring first and second sets of motion vectors; dividing, in response to the number of valid adjacent PUs being greater than or equal to a preset number, the second set of motion vectors into at least one motion vector subset; calculating a correlation between the first set of motion vectors and each motion vector subset respectively, to obtain a priority of each adjacent PU; calculating, sequentially according to the priority in descending order, a rate distortion based on a motion vector of each adjacent PU, and stop calculating until a rate distortion smaller than a predetermined threshold is obtained; and determining a motion vector of an adjacent PU used when the rate distortion smaller than the predetermined threshold is obtained as the motion vector of the current PU.
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公开(公告)号：US20240427606A1
公开(公告)日：2024-12-26
申请号：US18026649
申请日：2022-12-29
Inventor： QIANG WANG , ZHANBEI WANG , GUANGJUN LAN
IPC: G06F9/4401 , G06F11/14 , G06F11/30 , H05K7/20
Abstract: In one embodiment, a system monitors a temperature of a computing system for an autonomous driving system (ADS) of the autonomous driving vehicle (ADV). The system determines the monitored temperature is below a predetermined temperature threshold. The system controls a heating module to distribute heat to the computing system. The system determines the temperature of the computing system is above a predetermined temperature threshold. The system initiates a boot up sequence to boot up the computing system, where the temperature of components of the computing system is above the predetermined threshold when the boot up sequence is initiated.
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公开(公告)号：US20240411979A1
公开(公告)日：2024-12-12
申请号：US18749479
申请日：2024-06-20
Inventor： Minlong PENG , Mingming SUN , Yabing SHI
Abstract: A method, apparatus, device, and medium for determining the similarity of text processing tasks is provided. The method includes: determining a first task, a second task, and a neural network, the neural network includes a plurality of network modules and a plurality of importance coefficients corresponding to the plurality of network modules, and the importance coefficients are used to scale output values of a corresponding network module; respectively performing a target operation using the first task and the second task as a target task to obtain an embedding feature of the first task and an embedding feature of the second task; and determining the task similarity between the first task and the second task based on the embedding features. The target operation includes: training using text samples and obtaining a plurality of trained importance coefficients; and determining an embedding feature of the target task based on trained importance coefficients.
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