Unknown Organization (20240356873). PERSONAL AI INTENT UNDERSTANDING simplified abstract
Contents
- 1 PERSONAL AI INTENT UNDERSTANDING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PERSONAL AI INTENT UNDERSTANDING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Chatbot System
- 1.13 Original Abstract Submitted
PERSONAL AI INTENT UNDERSTANDING
Organization Name
Inventor(s)
Jason Brewer of Mountain View CA (US)
Wenxiang Chen of San Jose CA (US)
Michael James Cunningham of Brooklyn NY (US)
Dmytro Ishchenko of Los Angeles CA (US)
Tanvi Motwani of Mountain View CA (US)
Diwakar Punjani of Las Altos CA (US)
PERSONAL AI INTENT UNDERSTANDING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240356873 titled 'PERSONAL AI INTENT UNDERSTANDING
Simplified Explanation
The patent application describes a chatbot system for an interactive platform that can determine user intent and generate responses using a generative AI model.
Key Features and Innovation
- Chatbot system receives prompt from user and determines intent.
- If intent can't be determined, prompt is communicated to generative AI model.
- If intent is determined, system generates API call to additional service.
- Values returned by additional service are used to generate hint prompt.
- Response from generative AI model is communicated back to user.
Potential Applications
This technology can be used in customer service chatbots, virtual assistants, and interactive platforms to improve user interactions and responses.
Problems Solved
- Improves user experience by accurately determining user intent.
- Enhances efficiency by generating responses based on user prompts.
- Provides personalized responses by using generative AI models.
Benefits
- Enhanced user engagement and satisfaction.
- Streamlined communication process.
- Personalized and tailored responses.
Commercial Applications
This technology can be applied in customer service industries, e-commerce platforms, and online education systems to automate responses and improve user experience.
Prior Art
Further research can be conducted in the field of chatbot systems, AI models, and interactive platforms to explore similar technologies and innovations.
Frequently Updated Research
Stay updated on advancements in AI technology, natural language processing, and chatbot systems to enhance the capabilities of this innovation.
Questions about Chatbot System
How does the chatbot system determine user intent?
The chatbot system analyzes the prompt provided by the user to identify keywords and context that indicate the user's intent.
What is the role of the generative AI model in the chatbot system?
The generative AI model is used to generate responses based on personality prompts or hint prompts provided by the chatbot system.
Original Abstract Submitted
a chatbot system for an interactive platform. the chatbot system receives a prompt from a user and determines an intent of the user using the prompt. if the chatbot system can't determine an intent, the chatbot communicates the prompt as a personality prompt to a generative ai model. if the chatbot system can determine an intent from the prompt, the chatbot system generates an api call to an additional service using the intent. the chatbot system uses values returned by the additional service to generate a hint prompt that is communicated to the generative ai model. the chatbot system receives a response from the generative ai model to the personality prompt or hint prompt and communicates the response to the user.
