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公开(公告)号:US20240202796A1
公开(公告)日:2024-06-20
申请号:US18441731
申请日:2024-02-14
Applicant: Google LLC
Inventor: Arash Sadr , Alice Au Quan
IPC: G06Q30/0601
CPC classification number: G06Q30/0627 , G06Q30/0621 , G06Q30/0643
Abstract: Systems and methods for searching using machine-learned model-generated outputs can provide a user with a medium for generating a theoretical dataset that can then be matched to a real world example. The systems and methods can include selecting a plurality of terms, which can be utilized to generate a prompt input that can be processed by a dataset generation model to generate a plurality of model-generated datasets. A selection can then be received that selects a particular model-generated database to utilize to query a database.
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公开(公告)号:US20240202795A1
公开(公告)日:2024-06-20
申请号:US18193890
申请日:2023-03-31
Applicant: Google LLC
Inventor: Harshit Kharbanda , Arash Sadr , Alice Au Quan , Belinda Luna Zeng , Christopher James Kelley , Jieming Yu , Minsang Choi
IPC: G06Q30/0601
CPC classification number: G06Q30/0627 , G06Q30/0621 , G06Q30/0643
Abstract: Systems and methods for searching using machine-learned model-generated outputs can provide a user with a medium for generating a theoretical dataset that can then be matched to a real world example. The systems and methods can include selecting a plurality of terms, which can be utilized to generate a prompt input that can be processed by a dataset generation model to generate a plurality of model-generated datasets. A selection can then be received that selects a particular model-generated database to utilize to query a database.
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公开(公告)号:US20240394768A1
公开(公告)日:2024-11-28
申请号:US18798387
申请日:2024-08-08
Applicant: Google LLC
Inventor: Harshit Kharbanda , Arash Sadr , Alice Au Quan , Belinda Luna Zeng , Christopher James Kelley , Jieming Yu , Minsang Choi
IPC: G06Q30/0601
Abstract: Systems and methods for searching using machine-learned model-generated outputs can provide a user with a medium for generating a theoretical dataset that can then be matched to a real world example. The systems and methods can include selecting a plurality of terms, which can be utilized to generate a prompt input that can be processed by a dataset generation model to generate a plurality of model-generated datasets. A selection can then be received that selects a particular model-generated database to utilize to query a database.
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公开(公告)号:US12086857B2
公开(公告)日:2024-09-10
申请号:US18193890
申请日:2023-03-31
Applicant: Google LLC
Inventor: Harshit Kharbanda , Arash Sadr , Alice Au Quan , Belinda Luna Zeng , Christopher James Kelley , Jieming Yu , Minsang Choi
IPC: G06Q30/00 , G06Q30/0601
CPC classification number: G06Q30/0627 , G06Q30/0621 , G06Q30/0643
Abstract: Systems and methods for searching using machine-learned model-generated outputs can provide a user with a medium for generating a theoretical dataset that can then be matched to a real world example. The systems and methods can include selecting a plurality of terms, which can be utilized to generate a prompt input that can be processed by a dataset generation model to generate a plurality of model-generated datasets. A selection can then be received that selects a particular model-generated database to utilize to query a database.
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公开(公告)号:US11941678B1
公开(公告)日:2024-03-26
申请号:US18173449
申请日:2023-02-23
Applicant: Google LLC
Inventor: Arash Sadr , Alice Au Quan
IPC: G06Q30/00 , G06Q30/0601
CPC classification number: G06Q30/0627 , G06Q30/0621 , G06Q30/0643
Abstract: Systems and methods for searching using machine-learned model-generated outputs can provide a user with a medium for generating a theoretical dataset that can then be matched to a real world example. The systems and methods can include selecting a plurality of terms, which can be utilized to generate a prompt input that can be processed by a dataset generation model to generate a plurality of model-generated datasets. A selection can then be received that selects a particular model-generated database to utilize to query a database.
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