Abstract: A device includes a processor, and a memory storing executable instructions which, when executed by the processor, cause the processor alone or in combination with other processors to perform the following functions: receive textual user input from a user describing a design to be generated; implement a first prompt generator to generate a first prompt for a Large Language Model (LLM) to restructure the user input; and implement a second prompt generator to generate a second prompt for a text-to-image model using output of the LLM to produce, the second prompt to prompt the text-to-image model to produce a proposed design based on the user input. The proposed design is provided to the user via an application comprising controls for further editing the proposed design.

Abstract: A data processing system includes a processor, and a memory storing executable instructions which, when executed by the processor, cause the processor alone or in combination with other processors to perform the following functions: based on a list of design purposes, generate prompts requesting a Large Language Model (LLM) to produce corresponding prompts for input to a text-to-image model to generate a proposed design corresponding to each design purpose; submit the prompts from the LLM to the text-to-image model; receive the proposed designs from the text-to-image model; and increase a design template library by adding a design based on the proposed designs output by the text-to-image model.

Abstract: A data processing system implements techniques for generating personalized content using a brand kit. The system receives a natural language prompt to generate content in a design application on the client device of a user and analyzes the prompt to determine whether the user intends to apply a brand kit to the generated content. The system automatically generates a brand kit for the user if one does not already exist and applies the brand kit to content generated using one or more generative models to create personalized content. The system includes a prompt generation unit that generates a plurality of model-specific prompts to the one or more generative models to cause the one or more generative models to create the personalized content.

Abstract: A system for development of an Artificial Intelligence (AI) model while protecting sensitive user information includes: a confidential computing environment in which original prompts to the AI model written by users are collected; a trained synthetic prompt generator to generate synthetic prompts based on the original prompts, wherein the synthetic prompt generator generates anonymized synthetic prompts without sensitive user information identifiable from the original prompts; and a developer computing environment in which the synthetic prompts are submitted to the AI model under development to generate a dataset that includes the synthetic prompts and corresponding AI model output for analysis to determine updates for the AI model while protecting the sensitive user information of actual users.

Abstract: A system and method and for generating an editable document from a non-editable document includes automatically identifying a layout for a plurality of objects in the non-editable document, where the layout includes bounding boxes of one or more of the objects, and automatically identifying a font for a text object of the plurality of objects. The method and system also includes selecting a color scheme for one or more of the plurality of objects, the color scheme corresponding to one or more color values associated with the plurality of objects the non-editable document, before automatically generating the editable document in accordance with at least one of the identified layout, identified font and selected color scheme.