Google llc (20240347061). GENERATING AUTOMATED ASSISTANT RESPONSES AND/OR ACTIONS DIRECTLY FROM DIALOG HISTORY AND RESOURCES simplified abstract

GENERATING AUTOMATED ASSISTANT RESPONSES AND/OR ACTIONS DIRECTLY FROM DIALOG HISTORY AND RESOURCES

Organization Name

google llc

Inventor(s)

Arvind Neelakantan of Mountain View CA (US)

Daniel Duckworth of Salinas CA (US)

Ben Goodrich of Mountain View CA (US)

Vishaal Prasad of Mountain View CA (US)

Chinnadhurai Sankar of Montreal (CA)

Semih Yavuz of Santa Barbara CA (US)

GENERATING AUTOMATED ASSISTANT RESPONSES AND/OR ACTIONS DIRECTLY FROM DIALOG HISTORY AND RESOURCES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240347061 titled 'GENERATING AUTOMATED ASSISTANT RESPONSES AND/OR ACTIONS DIRECTLY FROM DIALOG HISTORY AND RESOURCES

Simplified Explanation: The patent application describes using a single neural network model to generate natural language responses and actions for automated assistants during dialog sessions with users.

• Key Features and Innovation:

   * Utilizing a single neural network model for generating responses and actions in automated dialog systems.
   * Jointly generating natural language responses and actions based on dialog history and discrete resources.
   * Generating responses and actions token-by-token using the neural network model.

• Potential Applications:

   * Automated customer service chatbots.
   * Virtual assistants in smart devices.
   * Interactive storytelling applications.

• Problems Solved:

   * Streamlining the process of generating responses and actions in dialog systems.
   * Enhancing the efficiency of automated assistants in understanding and responding to user queries.

• Benefits:

   * Improved user experience in interacting with automated assistants.
   * Faster response times in dialog sessions.
   * Enhanced accuracy in generating appropriate responses and actions.

• Commercial Applications:

   * "Enhancing User Experience in Automated Dialog Systems: Leveraging a Single Neural Network Model for Efficient Response Generation"

• Prior Art:

   Research on neural network models for natural language processing in dialog systems.

• Frequently Updated Research:

   Ongoing advancements in neural network models for dialog systems and natural language processing.

• Questions about Automated Assistant Dialog Systems:

   * How do neural network models improve the efficiency of automated assistants?
   * What are the potential limitations of using a single neural network model for generating responses and actions in dialog systems?

Original Abstract Submitted

training and/or utilizing a single neural network model to generate, at each of a plurality of assistant turns of a dialog session between a user and an automated assistant, a corresponding automated assistant natural language response and/or a corresponding automated assistant action. for example, at a given assistant turn of a dialog session, both a corresponding natural language response and a corresponding action can be generated jointly and based directly on output generated using the single neural network model. the corresponding response and/or corresponding action can be generated based on processing, using the neural network model, dialog history and a plurality of discrete resources. for example, the neural network model can be used to generate a response and/or action on a token-by-token basis.