Unknown Organization (20240296477). Generative AI System simplified abstract
Contents
Generative AI System
Organization Name
Inventor(s)
Jonathan Rodriguez Cefalu of La Habra CA (US)
Jeremy Mchugh of Pittsburgh PA (US)
Ron Heichman of Pittsburgh PA (US)
Generative AI System - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240296477 titled 'Generative AI System
Simplified Explanation:
This patent application describes a system and method for injecting branding, ads, and helpline contact information into content generated by general-purpose AI systems based on user input.
- The system allows brands, clients, and companies to influence the behavior of AI processes like chatbots, image generation AI, and recommendation systems.
- By activating triggers based on user input metrics, the generative system modifies the input to create expected behavior.
Key Features and Innovation:
- Integration of branding, ads, and helpline contact info into AI-generated content.
- Ability to influence AI behavior based on user input metrics.
Potential Applications:
This technology can be applied in various industries such as marketing, customer service, and content generation.
Problems Solved:
This technology addresses the challenge of integrating branding and advertising seamlessly into AI-generated content.
Benefits:
- Enhanced brand visibility and customer engagement.
- Improved user experience through personalized content.
Commercial Applications:
The system can be used in digital marketing campaigns, customer service chatbots, and content recommendation systems to drive brand awareness and customer interaction.
Questions about AI:
1. How does this technology improve user engagement with AI-generated content? 2. What are the potential implications for brand visibility and customer interaction with this system?
Original Abstract Submitted
a system and method of the injection of branding, ads, and helpline contact info based on user input into the content that is generated by general-purpose ai systems. a system and method allows brands, clients, companies, etc., to elicit desired behavior from general-purpose generative ai processes (chatbots, image generation ai, recommendation systems, audio systems, augmented reality, virtual reality, mixed reality . . . ). based on user input, a trigger is activated based on an input metric, and then the generative system modifies the input, creates a kind of expected behavior, etc.
