Generative Language Model Page Layout Generation
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Solution Overview
Problem
Existing application software often has complex and functional page designs, making it difficult for users to find specific pages or operate them efficiently, resulting in increased user costs and the need for extensive training.
Innovation Solution
A method for generating pages using a generative language model to acquire target information, preliminary layout information, and internal structure information, which are then combined to obtain target layout information for page rendering, thereby creating a user-friendly page that meets natural language input intentions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing application software uses complicated and functional page designs, then the functionality and features of the software are improved, but the ease of operation and user accessibility deteriorate
Solution Approach 1:
The system enables users to generate pages independently through natural language input without requiring professional design skills or extensive training. The generative language model automatically translates user intentions into structured page layouts, allowing ordinary users to create functional pages without learning complex interfaces or conventions.
Solution Approach 2:
The patent replaces the traditional mechanical interaction model (requiring users to navigate complex menus and interfaces) with an AI-based generative system. Users simply input natural language descriptions, and the generative language model automatically generates the complete page structure, eliminating the need for users to manually configure complex layouts.
2Adaptability or versatility
If existing application software uses complicated page designs, then the functional capabilities are enhanced, but the time required for user exploration and training increases
Solution Approach 1:
The system performs preliminary generation of the complete page structure based on user natural language input before the user needs to interact with it. The generative language model proactively creates the entire page layout, components, and structure in one action, eliminating the need for users to progressively explore and discover functions through trial and error.
Solution Approach 2:
Users can independently generate pages without requiring time-consuming training or exploration. The system serves itself by automatically interpreting natural language input and generating the complete functional page structure, eliminating the time users would otherwise spend learning the software interface.
3Adaptability or versatility
If existing application software uses complicated page designs, then the feature richness is improved, but the user cost of operation increases
Solution Approach 1:
The patent replaces complex manual configuration mechanisms with AI-generated page construction. Instead of requiring users to manually assemble features from predefined templates or navigate complex settings, the generative language model automatically creates rich functional pages based on simple natural language descriptions, significantly reducing user effort and cost.
Solution Approach 2:
The system enables users to independently create feature-rich pages without incurring high operational costs through extensive training or exploration. The generative language model serves the user's needs directly by translating simple natural language input into fully functional pages with rich features, eliminating the need for users to invest time and effort in learning the system.
Data Source
AI summary
A method for generating a page, storage medium and electronic device. The method includes: acquiring target information inputted by a user, and acquiring preliminary layout information of a target page for the target information through a generative language model, the preliminary layout information including component information of a plurality of page components forming the target page; respectively acquiring internal structure information of each of the plurality of page components through the generative language model; and obtaining target layout information corresponding to the target page by combining the preliminary layout information and internal structure information of each of the plurality of page components; and according to the target layout information, performing page rendering through a page rendering engine, so as to obtain the target page.


