SUPPLEMENTAL CONTENT AND GENERATIVE LANGUAGE MODELS

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SUPPLEMENTAL CONTENT AND GENERATIVE LANGUAGE MODELS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240256757 titled 'SUPPLEMENTAL CONTENT AND GENERATIVE LANGUAGE MODELS

The abstract of the patent application describes a computing system that utilizes a generative language model to generate output based on a prompt, identifies text in the output to be associated with a supplemental content item, and assigns a hyperlink to the text for displaying the supplemental content item when selected or hovered over.

The computing system includes a processor and memory storing instructions for executing various acts.
The system prompts a generative language model to generate output based on the prompt.
Text in the output is identified to be associated with a supplemental content item.
A hyperlink is assigned to the text in the output.
When the hyperlink is selected or hovered over, the supplemental content item is displayed.

Potential Applications: - Content generation and enhancement in various industries such as marketing, education, and entertainment. - Improving user experience by providing additional information related to generated content.

Problems Solved: - Enhancing the relevance and depth of generated content. - Facilitating easy access to supplemental information for users.

Benefits: - Improved user engagement and interaction with generated content. - Enhanced information delivery and user experience.

Commercial Applications: Title: Enhanced Content Generation and User Experience This technology can be utilized in content marketing, online education platforms, and entertainment websites to provide users with additional relevant information and enhance their overall experience.

Questions about the technology: 1. How does this technology improve user engagement with generated content? 2. What are the potential limitations of using a generative language model for content enhancement?

Original Abstract Submitted

a computing system includes a processor and memory storing instructions that, when executed by the processor, cause the processor to perform several acts. the acts include providing a prompt to a generative language model, where the generative language model generates output based upon the prompt, identifies text in the output that is to be associated with a supplemental content item, and assigning a hyperlink to the text in the output. upon the hyperlink being selected or hovered over, the supplemental content item is displayed.