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    GENERATIVE NAVIGATIONAL CORPUS
    1.
    发明申请
    GENERATIVE NAVIGATIONAL CORPUS 有权

    公开(公告)号：US20250094521A1

    公开(公告)日：2025-03-20

    申请号：US18889117

    申请日：2024-09-18

    Applicant: Google LLC

    Inventor： Victor Carbune ,  Arash Sadr ,  Matthew Sharifi

    IPC: G06F16/958 ,  G06F16/955

    Abstract: Disclosed implementations relate to structures that support an on-demand navigational corpus. An example method involves receiving a navigation request from a client device pertaining to an intent, determining seed content associated with the navigation request, utilizing a large foundational model to create a web page incorporating the seed content, based on a navigation model, and the intent, and delivering the generated web page for presentation on the client device. The method enables efficient and personalized web page generation based on user intent, enhancing user experience and facilitating dynamic navigation using raw seed content.

    TRIGGERING DIVIDED SCREEN MODES FOR COMPANION GENERATIVE AI APPLICATIONS IN MOBILE DEVICES
    3.
    发明申请
    TRIGGERING DIVIDED SCREEN MODES FOR COMPANION GENERATIVE AI APPLICATIONS IN MOBILE DEVICES 有权

    公开(公告)号：US20250060928A1

    公开(公告)日：2025-02-20

    申请号：US18235148

    申请日：2023-08-17

    Applicant: Google LLC

    Inventor： Arash Sadr

    IPC: G06F3/14 ,  G06F1/16 ,  G06F3/04842 ,  H04M1/02

    Abstract: Techniques involve triggering a divided screen mode for a computing environment in response to an indication that a display aspect of the computing environment has changed. In a first portion of the divided screen mode, an interface for a main application is displayed; in a second portion of the divided screen mode, an interface for a companion application is displayed. In some implementations, prior to the interface for the companion application being displayed, an icon representing the companion application is displayed in the second portion; the user may point to, or click on, the icon to launch the companion application.

    Search with Machine-Learned Model-Generated Queries
    5.
    发明公开
    Search with Machine-Learned Model-Generated Queries 审中-公开

    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.

    Ambient multi-device framework for agent companions
    8.
    发明授权
    Ambient multi-device framework for agent companions 有权

    公开(公告)号：US12111834B1

    公开(公告)日：2024-10-08

    申请号：US18390768

    申请日：2023-12-20

    Applicant: Google LLC

    Inventor： Victor Carbune ,  Arash Sadr ,  Matthew Sharifi

    IPC: G06F16/00 ,  G06F16/2455 ,  G06F16/248

    CPC classification number: G06F16/24553 ,  G06F16/248

    Abstract: Systems and methods for generating and providing outputs in a multi-device system can include leveraging environment-based prompt generation and generative model response generation to provide dynamic response generation and display. The systems and methods can obtain input data associated with one or more computing devices within an environment, can obtain environment data descriptive of the plurality of computing devices within the environment, and can generate a prompt based on the input data and environment data. The prompt can be processed with a generative model to generate a model-generated output. The model-generated output can then be transmitted to a particular computing device of the plurality of computing devices.

    User-Specific Content Generation Using Text-To-Image Machine-Learned Models
    9.
    发明公开
    User-Specific Content Generation Using Text-To-Image Machine-Learned Models 审中-公开

    公开(公告)号：US20240330381A1

    公开(公告)日：2024-10-03

    申请号：US18622051

    申请日：2024-03-29

    Applicant: Google LLC

    Inventor： Arash Sadr

    IPC: G06F16/9535 ,  G06F3/04845 ,  G06F16/9538 ,  G06T11/00

    CPC classification number: G06F16/9535 ,  G06F3/04845 ,  G06F16/9538 ,  G06T11/00 ,  G06T2200/24

    Abstract: Techniques for presenting a content item using text-to-image machine-learned models are presented. For example, a system can obtain user personalization data associated with a user and merchant assets data of a merchant. Additionally, the system can process the user personalization data and the merchant assets data with a text generation model to generate one or more model-generated terms. Moreover, the system can process the one or more model-generated terms with an image generation model to generate one or more model-generated images. Furthermore, the system can determine a content item based on the one or more model-generated images. Subsequently, the system can present, on a display of a user device of the user, a graphical user interface having the content item.

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