View source for 20240046108. SYSTEMS AND METHODS FOR CONTINUAL UPDATING OF RESPONSE GENERATION BY AN ARTIFICIAL INTELLIGENCE CHATBOT simplified abstract (Cambia Health Solutions, Inc.)

=SYSTEMS AND METHODS FOR CONTINUAL UPDATING OF RESPONSE GENERATION BY AN ARTIFICIAL INTELLIGENCE CHATBOT=


==Organization Name==

[[:Category:Cambia Health Solutions, Inc.|Cambia Health Solutions, Inc.]]


[[Category:Cambia Health Solutions, Inc.]]

==Inventor(s)==

[[:Category:Weicheng Ma of Brooklyn NY (US)|Weicheng Ma of Brooklyn NY (US)]][[Category:Weicheng Ma of Brooklyn NY (US)]]

[[:Category:Kai Cao of Seattle WA (US)|Kai Cao of Seattle WA (US)]][[Category:Kai Cao of Seattle WA (US)]]

[[:Category:Bei Pan of Kirkland WA (US)|Bei Pan of Kirkland WA (US)]][[Category:Bei Pan of Kirkland WA (US)]]

[[:Category:Lin Chen of Bellevue WA (US)|Lin Chen of Bellevue WA (US)]][[Category:Lin Chen of Bellevue WA (US)]]

[[:Category:Xiang Li of Bellevue WA (US)|Xiang Li of Bellevue WA (US)]][[Category:Xiang Li of Bellevue WA (US)]]

==SYSTEMS AND METHODS FOR CONTINUAL UPDATING OF RESPONSE GENERATION BY AN ARTIFICIAL INTELLIGENCE CHATBOT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240046108 titled 'SYSTEMS AND METHODS FOR CONTINUAL UPDATING OF RESPONSE GENERATION BY AN ARTIFICIAL INTELLIGENCE CHATBOT

==Simplified Explanation==

Methods and systems are provided for a variational-sequence-to-sequence dialog generator (VSDG) of a chatbot, which receives an input query and calculates a response using a variational autoencoder (VAE) combined with a generative adversarial network (GAN). The response generated by the VSDG can be in a dialog form. Additionally, the GAN evaluates the response to update the VSDG.

* The patent application describes a system for generating dialog responses in a chatbot using a VSDG.
* The VSDG receives an input query and uses a VAE combined with a GAN to calculate a response.
* The response generated by the VSDG can be in a dialog form, allowing for more natural and interactive conversations.
* The GAN evaluates the response to provide feedback and improve the performance of the VSDG.
* The technology combines variational autoencoders and generative adversarial networks to enhance the capabilities of the chatbot.

Potential applications of this technology:

* Chatbot systems and virtual assistants can benefit from more advanced and natural dialog generation.
* Customer service chatbots can provide more accurate and helpful responses to user queries.
* Language learning platforms can use this technology to create interactive conversational agents for practice and learning.
* Virtual chat agents in gaming and entertainment applications can engage in more realistic and dynamic conversations with users.

Problems solved by this technology:

* Traditional chatbots often struggle to generate coherent and contextually appropriate responses.
* Generating dialog responses that mimic human-like conversation is challenging.
* Feedback and evaluation of chatbot responses can be subjective and difficult to automate.
* Improving the performance and user experience of chatbot systems requires advanced techniques for response generation.

Benefits of this technology:

* Enhanced user experience with chatbots that can generate more natural and contextually relevant responses.
* Improved accuracy and efficiency in providing information and assistance to users.
* Increased engagement and interaction with chatbot systems, leading to better user satisfaction.
* Continuous learning and improvement of chatbot performance through the evaluation and updating process.


==Original Abstract Submitted==

methods and systems are provided for receiving an input query at a variational-sequence-to-sequence dialog generator (vsdg) of a chatbot, and calculating, via a variational autoencoder (vae) combined with a generative adversarial network (gan) of the vsdg, a response to the input query. the response may be in a dialog form. further, in one or more examples, the gan evaluates the response for updating the vsdg.



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