20240020538. SYSTEMS AND METHODS FOR REAL-TIME SEARCH BASED GENERATIVE ARTIFICIAL INTELLIGENCE simplified abstract (SuSea, Inc.)

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SYSTEMS AND METHODS FOR REAL-TIME SEARCH BASED GENERATIVE ARTIFICIAL INTELLIGENCE

Organization Name

SuSea, Inc.

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.

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