20240020538. SYSTEMS AND METHODS FOR REAL-TIME SEARCH BASED GENERATIVE ARTIFICIAL INTELLIGENCE simplified abstract (SuSea, Inc.)
SYSTEMS AND METHODS FOR REAL-TIME SEARCH BASED GENERATIVE ARTIFICIAL INTELLIGENCE
Organization Name
Inventor(s)
Richard Socher of Palo Alto CA (US)
Bryan Mccann of Palo Alto CA (US)
SYSTEMS AND METHODS FOR REAL-TIME SEARCH BASED GENERATIVE ARTIFICIAL INTELLIGENCE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240020538 titled 'SYSTEMS AND METHODS FOR REAL-TIME SEARCH BASED GENERATIVE ARTIFICIAL INTELLIGENCE
Simplified Explanation
Embodiments described in this patent application provide a customized generative AI platform that allows users to generate various formats of responses to user inputs by incorporating results from searches performed by the AI platform. The system utilizes a neural network to analyze input data and contextual information, identify potential search queries, gather relevant data, sort information, generate text-based responses, and present the response and search results to the user.
- The system is a customized generative AI platform that generates responses to user inputs incorporating search results.
- It uses a neural network to analyze input data and contextual information.
- The system identifies potential search queries based on the input data.
- It gathers relevant data from searches performed by the AI platform.
- The system sorts the gathered information to generate text-based responses.
- User-engageable elements are used to present the response and search results to the user.
Potential applications of this technology:
- Customer service chatbots that can provide customized responses to user queries by incorporating search results.
- Virtual assistants that generate informative and contextually relevant responses by utilizing search data.
- Content generation tools that can create customized content by incorporating search results.
- Personalized recommendation systems that generate recommendations based on user inputs and search results.
Problems solved by this technology:
- The system allows for the generation of customized responses by incorporating search results, providing more accurate and relevant information to users.
- It automates the process of gathering and sorting information from searches, saving time and effort for users.
- The neural network analysis helps in identifying potential search queries, improving the accuracy of the generated responses.
Benefits of this technology:
- Users can receive more accurate and relevant responses to their queries by incorporating search results.
- The system saves time and effort by automating the process of gathering and sorting information.
- The neural network analysis improves the accuracy of the generated responses.
- User-engageable elements enhance the user experience by presenting the response and search results in an interactive manner.
Original Abstract Submitted
embodiments described herein provide systems and methods for a customized generative ai platform that provides users with a tool to generate various formats of responses to user inputs that incorporate results from searches performed by the generative ai platform. the system may use a neural network to utilize input data and contextual information to identify potential search queries, gather relevant data, sort information, generate text-based responses to user inputs, and present response and search results via user-engageable elements.