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    METHODS AND SYSTEMS FOR GENERATING A PRODUCT PACKAGING MODEL
    4.
    发明申请
    METHODS AND SYSTEMS FOR GENERATING A PRODUCT PACKAGING MODEL 有权

    公开(公告)号：US20210192660A1

    公开(公告)日：2021-06-24

    申请号：US16724610

    申请日：2019-12-23

    Applicant: Shopify Inc.

    Inventor： Bryon Leonel DELGADO ,  Daniel BEAUCHAMP ,  Brian CROWDER

    IPC: G06Q50/28 ,  G06F30/20

    Abstract: Methods and systems for generating a product packaging model for a product offering of a set of product items associated with a merchant account. At an e-commerce platform, a trigger event is detected and, in response, two or more product items are automatically selected to form a kit that makes up the product offering. Model data for the two or more product items and packaging parameters are used to automatically select a packaging option and to build a product packaging model that is sent to the merchant account. The product packaging model may be a three-dimensional computer model of the kit containing the two or more product items.

    METHODS AND SYSTEMS FOR GENERATION OF TEXT USING LARGE LANGUAGE MODEL WITH INDICATIONS OF UNSUBSTANTIATED INFORMATION
    6.
    发明公开
    METHODS AND SYSTEMS FOR GENERATION OF TEXT USING LARGE LANGUAGE MODEL WITH INDICATIONS OF UNSUBSTANTIATED INFORMATION 审中-公开

    公开(公告)号：US20240256764A1

    公开(公告)日：2024-08-01

    申请号：US18180518

    申请日：2023-03-08

    Applicant: Shopify Inc.

    Inventor： Russ MASCHMEYER ,  Daniel BEAUCHAMP

    IPC: G06F40/169 ,  G06F16/332 ,  G06F40/205 ,  G06F40/40

    CPC classification number: G06F40/169 ,  G06F16/3328 ,  G06F40/205 ,  G06F40/40

    Abstract: Methods and systems for prompting a large language model (LLM) to generate a description of an object with indications of any unsubstantiated information are disclosed. A prompt is generated to a LLM to generate a description of an object, where the prompt includes one or more object attributes to include in the generated description. The prompt also includes an instruction for the LLM to annotate any portions of the generated description that are, involve, and/or include unsubstantiated information according to a defined format. The prompt is provided to the LLM and the generated description is received. The generated description is parsed to identify, based on the defined format, one or more annotated portions indicating unsubstantiated information. The generated description is presented for display via a user device.

    METHODS AND SYSTEMS FOR PROMPTING LARGE LANGUAGE MODEL TO PROCESS INPUTS FROM MULTIPLE USER ELEMENTS
    7.
    发明公开
    METHODS AND SYSTEMS FOR PROMPTING LARGE LANGUAGE MODEL TO PROCESS INPUTS FROM MULTIPLE USER ELEMENTS 审中-公开

    公开(公告)号：US20240256762A1

    公开(公告)日：2024-08-01

    申请号：US18186472

    申请日：2023-03-20

    Applicant: Shopify Inc.

    Inventor： Daniel BEAUCHAMP

    IPC: G06F40/166 ,  G06F40/205 ,  G06F40/40

    CPC classification number: G06F40/166 ,  G06F40/205 ,  G06F40/40

    Abstract: Methods and systems for prompting a large language model (LLM) to process inputs from multiple user elements to generate a revised block of text are described. One or more text-editing instructions related to respective one or more selected text portions in a block of text are received. A prompt is generated for a LLM to generate a revised block of text, the prompt including at least a portion of an annotated block of text, the annotated block of text including each text-editing instruction inserted into the block of text relative to each respective selected text portion. The prompt is provided to the LLM and a revised block of text is received and outputted.

    METHODS AND SYSTEMS FOR DYNAMIC GENERATION OF PERSONALIZED TEXT USING LARGE LANGUAGE MODEL
    10.
    发明公开
    METHODS AND SYSTEMS FOR DYNAMIC GENERATION OF PERSONALIZED TEXT USING LARGE LANGUAGE MODEL 审中-公开

    公开(公告)号：US20240256792A1

    公开(公告)日：2024-08-01

    申请号：US18180545

    申请日：2023-03-08

    Applicant: Shopify Inc.

    Inventor： Russ MASCHMEYER ,  Daniel BEAUCHAMP ,  Miqdad JAFFER

    IPC: G06F40/40 ,  G06F16/335

    CPC classification number: G06F40/40 ,  G06F16/337

    Abstract: Methods and systems for automatically prompting a LLM to generate a personalized text, such as a personalized textual description, in which portions of the text are customized based on user attributes. In various examples, responsive to a request for a textual description, a user record is retrieved for a user associated with the request and one or more user attributes are obtained based on the user record. In examples, a prompt to a large language model (LLM) for generating a user-specific textual description is generated, the prompt including the one or more user attributes to include in the generated user-specific textual description and a source text. The prompt is provided to the LLM to receive a generated user-specific textual description. The generated user-specific textual description is provided for display via a user device.

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