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公开(公告)号：US12265842B2
公开(公告)日：2025-04-01
申请号：US18817035
申请日：2024-08-27
Abstract: A method for processing information is provided. The method includes obtaining input information to be processed. The method further includes determining execution information associated with processing of the input information. The execution information includes at least one of memory information to be retrieved or tool information to be invoked. The method further includes obtaining, by using the execution information, at least one piece of processing result information corresponding to the processing of the input information. The method further includes the at least one piece of processing result information to generate output information for feedback.
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公开(公告)号：US12277398B2
公开(公告)日：2025-04-15
申请号：US17694034
申请日：2022-03-14
Inventor： Jian Gong , Yu Sun , Hao Tian , Hua Wu , Haifeng Wang , Qiaoqiao She
IPC: G06F40/40 , G06F40/205 , G06F40/284
Abstract: A model training method, a model training platform, an electronic device and a storage medium are provided, which can be used in the field of artificial intelligence, particularly the fields of natural language processing and deep learning. The model training method includes: receiving an input; determining, based on the input, a user-oriented prefabricated function; determining, based on the input, a model training function; determining, based on the input, a pre-trained model; determining, based on the input, a network structure associated with the pre-trained model so as to support use of the pre-trained model; training, based on the input, the model by using the prefabricated function, the model training function, and the pre-trained model; and providing an output associated with a trained model.
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公开(公告)号：US12131728B2
公开(公告)日：2024-10-29
申请号：US17828773
申请日：2022-05-31
Inventor： Siyu Ding , Chao Pang , Shuohuan Wang , Yanbin Zhao , Junyuan Shang , Yu Sun , Shikun Feng , Hao Tian , Hua Wu , Haifeng Wang
CPC classification number: G10L15/063 , G10L15/02 , G10L15/18
Abstract: The present application provides a method of training a natural language processing model, which relates to a field of artificial intelligence, and in particular to a field of natural language processing. A specific implementation scheme includes: performing a semantic learning for multi-tasks on an input text, so as to obtain a semantic feature for the multi-tasks, wherein the multi-tasks include a plurality of branch tasks; performing a feature learning for each branch task based on the semantic feature, so as to obtain a first output result for each branch task; calculating a loss for each branch task according to the first output result for the branch task; and adjusting a parameter of the natural language processing model according to the loss for each branch task. The present application further provides a method of processing a natural language, an electronic device, and a storage medium.
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公开(公告)号：US12108120B2
公开(公告)日：2024-10-01
申请号：US17651714
申请日：2022-02-18
IPC: H04N7/10 , G06F16/783 , G06F40/284 , G06V40/16 , H04N21/488
CPC classification number: H04N21/4886 , G06F16/784 , G06F16/7844 , G06F40/284 , G06V40/161 , H04N21/4882
Abstract: The present disclosure provides examples of a method and apparatus for processing a video, a device and a storage medium. The method may include: acquiring a target video and a target comment of the target video; recognizing a picture in the target video to obtain text information of the picture; determining a target comment matching a content of the text information; and inserting, in response to displaying the picture in the target video, the target comment matching the content in a form of a bullet screen.
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