Google llc (20240126997). Conversational Interface for Content Creation and Editing using Large Language Models simplified abstract

Conversational Interface for Content Creation and Editing using Large Language Models

Organization Name

google llc

Inventor(s)

Sylvanus Garnet Bent, Iii of Palo Alto CA (US)

Mehmet Levent Koc of Redwood City CA (US)

Wei Luo of Jersey City NJ (US)

Xiaolan Zhou of Santa Clara CA (US)

Conversational Interface for Content Creation and Editing using Large Language Models - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126997 titled 'Conversational Interface for Content Creation and Editing using Large Language Models

Simplified Explanation

The abstract describes a method involving a conversational campaign assistant interface, a custom language model, natural language input, user intent prediction, action determination, response generation, and model updating based on user input.

• Obtaining natural language input via a conversational campaign assistant interface
• Generating a predicted user intent using a custom language model
• Determining actions to perform and a natural language response
• Transmitting action data structure to an action component for execution
• Transmitting response data structure to the conversation campaign assistant interface for user display
• Updating the custom language model based on user input

Potential Applications

This technology could be applied in customer service chatbots, virtual assistants, and automated help desks.

Problems Solved

This technology streamlines the process of understanding user intent and providing appropriate responses in natural language, improving user experience and efficiency.

Benefits

The benefits of this technology include faster response times, more accurate user intent prediction, and improved user satisfaction.

Potential Commercial Applications

Potential commercial applications of this technology include customer service automation, virtual assistant development, and chatbot integration in various industries.

Possible Prior Art

One possible prior art could be the use of natural language processing in chatbots and virtual assistants, but the specific combination of elements described in the abstract may be novel.

How does this technology handle multi-turn conversations with users?

This technology could potentially handle multi-turn conversations by storing context from previous interactions and using it to inform future responses.

How does the custom language model adapt to new user input over time?

The custom language model could use machine learning techniques to continuously update and improve based on new user input, ensuring it remains accurate and relevant.

Original Abstract Submitted

example embodiments of the present disclosure provide for an example method that includes obtaining via a conversational campaign assistant interface, by a custom language model, natural language input. the method includes generating, by the custom language model, an output comprising a predicted user intent. the method includes determining actions to perform and determining a natural language response. the method includes transmitting, to an action component, the action data structure comprising executable instructions that cause the action component to automatically perform operations associated with completing the action. the method includes transmitting to the conversation campaign assistant interface, the response data structure comprising the natural language response to be provided for display to a user via the conversational campaign assistant interface. the method includes obtaining user input indicative of a validation of the action data structure or the response data structure and updating the custom language model based on the user input.