Microsoft technology licensing, llc (20240320268). THEME BASED FONT SEARCH simplified abstract
Contents
THEME BASED FONT SEARCH
Organization Name
microsoft technology licensing, llc
Inventor(s)
Akshay Mallipeddi of Cupertino CA (US)
THEME BASED FONT SEARCH - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240320268 titled 'THEME BASED FONT SEARCH
The patent application describes methods and systems for providing a theme-based font search that overcomes latency limitations in large language models and ensures relevant answers within a specific domain.
- Input a font category to a compact model to generate a font tag embedding.
- Input a search query to the compact model to generate a query embedding.
- Determine a distance measure between the query embedding and the font tag embedding.
- Provide a suggested font category based on the distance measure meeting a predetermined threshold.
Potential Applications: - Graphic design software - Font selection tools for websites - Branding and marketing platforms
Problems Solved: - Overcoming latency limitations in large language models - Ensuring domain-specific font suggestions
Benefits: - Faster and more accurate font search results - Improved user experience in selecting fonts - Enhanced productivity for designers and marketers
Commercial Applications: "Theme-Based Font Search Technology for Graphic Design Software and Branding Platforms"
Questions about Theme-Based Font Search Technology: 1. How does this technology improve font selection processes for designers? - This technology streamlines the font search process by providing domain-specific suggestions based on a user's query, enhancing efficiency and accuracy.
2. What are the potential implications of this technology for branding and marketing platforms? - By offering relevant font suggestions, this technology can help brands maintain consistency in their visual identity across various marketing materials and platforms.
Original Abstract Submitted
aspects of the disclosure include methods and systems for providing a theme based font search in a manner that bypasses the latency limitations inherent to large language models and ensures domain-relevant answers. an exemplary method can include inputting a font category to a compact model to generate a font tag embedding and inputting a search query to the compact model to generate a query embedding. a distance measure is determined between the query embedding and the font tag embedding. the font category for the font tag embedding is provided as a suggested font category responsive to the distance measure satisfying a predetermined threshold.
