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公开(公告)号:US12287804B2
公开(公告)日:2025-04-29
申请号:US18241028
申请日:2023-08-31
Applicant: Microsoft Technology Licensing, LLC
Inventor: Shaily Jignesh Fozdar , David Joseph Donahue , Fang Liu , Noelle Yanhui Li , Abhishek Narain , Irene Rogan Shaffer , Wee Hyong Tok , Ehimwenma Nosakhare , Vivek Gupta , Gust Verbruggen , Vu Minh Le , Jordan Joseph Henkel , Avrilia Floratou , Joyce Yu Cahoon , Richard Anarfi , Jason Wang , Daniel Muñoz Huerta , Yan Qiu
IPC: G06F17/00 , G06F16/242 , G06F16/25
Abstract: A computer-implemented method for performing natural language-based data integration includes causing execution of a data integration application on a remote device via a network and causing surfacing of a GUI corresponding to the data integration application on a display of the remote device. The method includes receiving, via the GUI, a natural language input representing a data integration task, generating, via an LLM, a set of ordered activities corresponding to the data integration task represented by the natural language input, and selecting, via the LLM, one or more APIs for performing each activity within the set of ordered activities. The method also includes generating a data pipeline based on the set of ordered activities and the API(s) for performing each activity, as well as back-translating the data pipeline to a desired data format for execution by the data integration application.
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公开(公告)号:US20170364303A1
公开(公告)日:2017-12-21
申请号:US15186015
申请日:2016-06-17
Applicant: Microsoft Technology Licensing, LLC.
Inventor: Nai Wen Shih , Karan Khanna , Brian Kocher , Fang Liu
IPC: G06F3/06 , G06F3/0481 , G06F17/30
CPC classification number: G06F3/0652 , G06F3/0605 , G06F3/0608 , G06F3/0647 , G06F3/0659 , G06F3/067 , G06F3/0673 , G06F16/125 , G06F16/162 , G06F16/583
Abstract: The present disclosure describes a system and method to manage image file storage that includes a memory device to store instructions and at least one processing device to execute the instructions stored in the memory device to determine a blur indication or a burst characteristic for each of a plurality of files stored on a storage medium, automatically identify candidate image files to delete based at least in part on the blur indication or the burst characteristic, and delete at least some of the candidate image files based on receiving a delete indication.
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