User interface and systems for document creation

    公开(公告)号:US11907652B2

    公开(公告)日:2024-02-20

    申请号:US17831264

    申请日:2022-06-02

    摘要: Various embodiments include a method for document creation. The method can include presenting a frame, presenting a first portion of a first collection of data, receiving a denial of the first portion of the first collection for the first group, presenting a first portion of a second collection of data for the first group, receiving a confirmation of the second collection for the first group, presenting a second portion of the first collection of data, receiving a confirmation or a denial of the second portion of the first collection for the second group, presenting a second portion of the second collection of data for the second group, after receiving a denial of the second portion of the first collection, receiving a confirmation of the second portion of the second collection for the second group, compiling confirmed portions of data into a prose output, and presenting the prose output.

    Automatic generation of transformations of formatted templates using deep learning modeling

    公开(公告)号:US11900052B2

    公开(公告)日:2024-02-13

    申请号:US17095603

    申请日:2020-11-11

    摘要: The present disclosure applies trained artificial intelligence (AI) processing adapted to automatically generating transformations of formatted templates. Pre-existing formatted templates (e.g., slide-based presentation templates) are leveraged by the trained AI processing to automatically generate a plurality of high-quality template transformations. In transforming a formatted template, the trained AI processing not only generates feature transformation of objects thereof but may also provide style transformations where attributes associated with a presentation theme may be modified for a formatted template or set of formatted templates. The trained AI processing is novel in that it is tailored for analysis of feature data of a specific type of formatted template. The trained AI processing converts a formatted template into a feature vector and utilizes conditioned generative modeling to generate one or more transformed templates using a representation of the feature data and feature data from one or more other formatted templates.

    Advice generation system
    48.
    发明授权

    公开(公告)号:US11875123B1

    公开(公告)日:2024-01-16

    申请号:US18362890

    申请日:2023-07-31

    申请人: Intuit Inc.

    摘要: The one or more embodiments provide for a method, system, and computer program product, an intent, generated by a large language model from a text, is received from a user device as a first input to an advice planner. A state of an account is received as a second input to the advice planner. The advice planner classifieds the intent into a domain corresponding to the intent, and generates, as output, a plan comprising a first set of action logic associated with the domain. Each action logic is a discrete step in an ordered sequence for achieving a desired state of the account. The advice planner forwards the plan to the large language model (LLM). The large language model receives the plan as input and generates advice in a natural language format as output. The advice is then forwarded to the user device.

    READING COMPREHENSION SUPPORT SYSTEM AND READING COMPREHENSION SUPPORT METHOD

    公开(公告)号:US20240012979A1

    公开(公告)日:2024-01-11

    申请号:US18031392

    申请日:2021-10-15

    摘要: A document reading comprehension support system which presents information necessary for a user with high accuracy is provided. A reading comprehension support system which receives a designated document; creates a first graph representing a structure of the designated document with words or phrases contained in the designated document; outputs two or more words or phrases contained in the first graph; receives a plurality of designated words or phrases from the output words or phrases; searches the first graph with the plurality of designated words or phrases; and outputs a search result, is provided. As the search result, at least a second graph representing a shortest path between any two of the plurality of designated words or phrases in the first graph can be output. The shortest path is a path connecting any two of the plurality of designated words or phrases through at least one complementary word or phrase. The complementary word or phrase is a word or phrase different from the plurality of designated words or phrases.