Multimodal Content Generation Tool with Custom GAI Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Generative Artificial Intelligence (GAI) systems often produce erroneous or low-quality outputs, particularly when generating content specific to users' particular needs, as they lack understanding of specific products or services, leading to increased editing work for users.
Innovation Solution
A content-generation tool that utilizes multimodal templates and custom GAI models tailored to users' assets, providing a versatile interface for creating high-quality, affinitized content across text, images, videos, and audio, with features like prompt tools, template creation, and quality control measures such as grammar and plagiarism checkers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If GAI systems are used to generate content, then content generation speed is improved, but output quality and accuracy deteriorate
Solution Approach 1:
The system performs preliminary actions by training custom GAI models on user-specific assets and data before content generation is needed. This pre-training phase equips the model with domain-specific knowledge and visual characteristics, enabling high-quality generation without requiring extensive real-time editing or supervision during actual content creation.
Solution Approach 2:
The system incorporates feedback mechanisms where users provide inputs and corrections that are fed back into the model for continuous refinement. This feedback loop allows the custom GAI model to progressively improve its accuracy and quality in generating content that matches the user's specific needs and brand identity.
2Ease of operation
If GAI systems generate content without custom training, then ease of operation is improved, but adaptability to specific products deteriorates
Solution Approach 1:
The system performs preliminary training of custom GAI models on user-specific assets, product catalogs, and domain data before the user needs to generate content. This pre-prepared customized model maintains ease of use through simple text prompts while achieving high adaptability to specific products and services.
Solution Approach 2:
The system creates a customized copy or version of the GAI model specifically trained on the user's assets and domain knowledge. This customized copy retains the general capabilities of the base GAI model while adding specific product knowledge, allowing the user to operate easily without needing to understand the complex underlying training process.
3Reliability
If users manually edit GAI outputs, then output quality is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary training and configuration of the custom GAI model with user-specific assets and guidelines before content generation is needed. This pre-prepared model generates high-quality content that closely matches the user's requirements, significantly reducing or eliminating the need for manual editing and review time.
4Device complexity
If generic GAI models are used, then device complexity is reduced, but manufacturing precision of content deteriorates
Solution Approach 1:
The system performs preliminary training of the GAI model on user-specific assets and domain data before content generation is needed. This pre-training phase customizes the model's internal parameters to accurately represent the user's products and services, achieving high manufacturing precision without requiring complex real-time adjustments during content creation.
Data Source
AI summary
Methods, systems, and computer programs are presented for generating multimodal content utilizing multimodal templates. One method includes presenting, in a user interface (UI), a template-selection option with one or more templates. Each template comprises a sequence of operations, where each operation comprises a prompt for creating items using generative artificial intelligence (GAI) tools. Further, each operation in the template is multimodal to be configurable to create text and configurable to create one or more images. The method further includes detecting a selection of a template in the UI. For each operation in the selected template, perform operations comprising: presenting, in the UI, the prompt associated with the operation; in response to receiving an input for the prompt, selecting a GAI tool based on a mode of the operation; providing the input to the selected GAI tool to generate the item; and presenting, in the UI, the generated item.