CPC G10L 15/1822 (2013.01) [G06F 40/30 (2020.01); G10L 15/065 (2013.01); G10L 15/1815 (2013.01); G10L 15/22 (2013.01); G06F 40/35 (2020.01); G10L 15/16 (2013.01); G10L 2015/221 (2013.01); G10L 2015/223 (2013.01); G10L 2015/227 (2013.01)] | 19 Claims |
1. A method for dynamically updating machine learning models that provide conversational responses, the method comprising:
receiving a user action, at a user interface, during a conversational interaction with a user interface;
determining, based on the user action, an output from a machine learning model, wherein the machine learning model is trained to determine respective confidence levels for a plurality of specific intents, and wherein each of the respective confidence levels indicates a likelihood that a user has a corresponding specific intent, and wherein the output comprises the respective confidence levels for each of the plurality of specific intents;
comparing each of the respective confidence levels to a threshold confidence level to select a configuration file, wherein the configuration file comprises a modification to rules used to select specific intents;
selecting a specific intent based on the configuration file, wherein the specific intent corresponds to a dynamic conversational response; and
generating for display, at the user interface, the dynamic conversational response during the conversational interaction.
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