Systems and methods for generating responses for an intelligent virtual

A system for generating responses for use by an intelligent virtual assistant comprising:

• at least one processor;
• and
• a non-transitory computer readable medium comprising instructions that, when executed by the at least one processor, cause the system to:
• receive a first plurality of responses used by a first intelligent virtual assistant for a first entity;
• receive data associated with a second entity, wherein the received data is from one or more internal knowledge bases associated with the second entity;
• train a machine learning question model using at least some of the received data;
• generate a plurality of questions using the machine learning question model, wherein each question of the plurality of questions simulates a question from a customer of the second entity to the first intelligent virtual assistant;
• assign an intent to each question of the plurality of questions;
• train a first machine learning response model using at least some of the received data;
• train a second machine learning response model to generate responses for use by a second intelligent virtual assistant using at least some of the first plurality of responses used by the first intelligent virtual assistant and without using the received data;
• generate a plurality of responses using the first machine learning response model, the second machine learning response model, each question from the plurality of questions, and the assigned intents by the computing device;
• and
• provide the questions of the plurality of questions, the assigned intents, and the generated plurality of responses, or use by the second intelligent virtual assistant for the entity.

A non-transitory computer readable medium comprising instructions that, when executed by at least one processor, cause a system to:

• receive a first plurality of responses used by a first intelligent virtual assistant for a first entity;
• receive data associated with a second entity, wherein the received data is from one or more internal knowledge bases associated with the second entity;
• train a machine learning question model using at least some of the received data;
• generate a plurality of questions using the machine learning question model, wherein each question of the plurality of questions simulates a question from a customer of the second entity to the first intelligent virtual assistant;
• assign an intent to each question of the plurality of questions;
• train a first machine learning response model using at least some of the received data;
• train a second machine learning response model to generate responses for use by a second intelligent virtual assistant using at least some of the first plurality of responses used by the first intelligent virtual assistant and without using the received data;
• generate a plurality of responses using the first machine learning response model, the second machine learning response model, each question from the plurality of questions, and the assigned intents by the computing device;
• and
• provide the questions of the plurality of questions, the assigned intents, and the generated plurality of responses, for use by the second intelligent virtual assistant for the entity.