Unknown Organization (20240354813). Metric Based Control of Generative AI Processes simplified abstract
Contents
Metric Based Control of Generative AI Processes
Organization Name
Inventor(s)
Jonathan Cefalu of La Habra CA (US)
Ron Heichman of Pittsburgh PA (US)
Jeremy Charles Mchugh of Pittsburgh PA (US)
Metric Based Control of Generative AI Processes - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240354813 titled 'Metric Based Control of Generative AI Processes
Simplified Explanation:
The 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.
Key Features and Innovation:
- Allows brands to influence behavior of AI processes
- Activates triggers based on user input metrics
- Modifies input to create expected behavior
Potential Applications:
This technology can be applied in various fields 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:
The system enables brands to effectively reach and engage with users through AI-generated content.
Commercial Applications:
The technology can be used in digital marketing campaigns, customer service chatbots, and personalized content recommendations.
Prior Art:
Prior art related to this technology may include research on AI integration in marketing and advertising.
Frequently Updated Research:
Stay updated on advancements in AI integration in branding and advertising to enhance the effectiveness of this technology.
Questions about AI Integration in Branding and Advertising: 1. How does this technology improve user engagement with AI-generated content? 2. What are the potential challenges in implementing branding and advertising in AI systems?
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.
