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Patent Agency Ranking
公开(公告)号：US20220229676A1
公开(公告)日：2022-07-21
申请号：US17608700
申请日：2019-05-31
Applicant: GOOGLE LLC
Inventor： Deepak Ramachandran , Sarvjeet Singh , Tania Bedrax-Weiss
Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.
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公开(公告)号：US20250166241A1
公开(公告)日：2025-05-22
申请号：US18950898
申请日：2024-11-18
Applicant: Google LLC
Inventor： Deepak Ramachandran , Alexander Ku , Peter James Anderson , Siddhartha Datta
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating images. In one aspect, a method comprises: obtaining an input query comprising text; processing, using prompt expansion model, a model input comprising at least the input query to generate a set of expanded prompts of the input query, wherein each of the expanded prompts describes an image in more detail than the input query; and for one or more of the expanded prompts in the set, generating, using an image generation model, a respective image that represents the expanded prompt.
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公开(公告)号：US20250111157A1
公开(公告)日：2025-04-03
申请号：US18900500
申请日：2024-09-27
Applicant: Google LLC
Inventor： Guy Tennenholtz , Yinlam Chow , Chih-wei Hsu , Jihwan Jeong , Lior Shani , Deepak Ramachandran , Martin Mirolyubov Mladenov , Craig Edgar Boutilier
IPC: G06F40/284 , G06F40/40 , G06N3/0455
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing embedding spaces using large language models. In one aspect, a method performed by one or more computers for analyzing a target embedding space using a neural network configured to perform a set of machine learning tasks is described. The method includes: obtaining, for each of one or more entities, a respective domain embedding representing the entity in the target embedding space; receiving a text prompt including a sequence of input tokens describing a particular machine learning task in the set to be performed on the one or more entities; preparing, for the neural network, an input sequence including each input token in the text prompt and each domain embedding; and processing the input sequence, using the neural network, to generate a sequence of output tokens describing a result of the particular machine learning task.
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公开(公告)号：US20240103893A1
公开(公告)日：2024-03-28
申请号：US18530995
申请日：2023-12-06
Applicant: GOOGLE LLC
Inventor： Deepak Ramachandran , Sarvjeet Singh , Tania Bedrax-Weiss
Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.
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公开(公告)号：US11842206B2
公开(公告)日：2023-12-12
申请号：US17608700
申请日：2019-05-31
Applicant: GOOGLE LLC
Inventor： Deepak Ramachandran , Sarvjeet Singh , Tania Bedrax-Weiss
Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.
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