CPC G06F 40/35 (2020.01) [G06N 3/045 (2023.01); G06N 3/088 (2013.01)] | 20 Claims |
1. A system for generating dynamic conversational responses through aggregated outputs of machine learning models, the system comprising:
storage circuitry configured to store:
a first machine learning model, wherein the first machine learning model is trained using a multi-class cross entropy loss function; and
a second machine learning model, wherein the second machine learning model is trained using a binary cross entropy loss function;
control circuitry configured to:
receive a first user action during a conversational interaction with a user interface;
determine, based on the first user action, a first feature input for the first machine learning model;
determine, based on the first user action, a second feature input for the second machine learning model;
input the first feature input into the first machine learning model to generate a first output from the first machine learning model;
input the first feature input into the second machine learning model to generate a second output from the second machine learning model;
determine a third output based on a weighted average of the first output and the second output; and
select a subset of the dynamic conversational responses from a plurality of dynamic conversational responses based on the third output; and
input/output circuitry configured to:
generate, at the user interface, the subset of the dynamic conversational responses during the conversational interaction.
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