Chatbot generator platform

A device, comprising:

• one or more memories;
• and
• one or more processors communicatively coupled to the one or more memories, configured to:
• receive, from a user device, a request to generate a chatbot,
• wherein the request identifies a characteristic of the chatbot;
• determine a chatbot template for the chatbot based on the characteristic of the chatbot;
• provide, to the user device, the chatbot template to permit the user device to provide custom chatbot information according to the chatbot template;
• receive the custom chatbot information after providing the chatbot template;
• generate, based on the chatbot template and the custom chatbot information, a chatbot corpus for the chatbot;
• generate, based on the chatbot corpus, a set of question and answer (QnA) pairs for the chatbot;
• configure, based on the chatbot corpus and using the set of QnA pairs, a language analysis model for the chatbot;
• build the chatbot according to the set of QnA pairs and the language analysis model;
• and
• deploy the chatbot to a chatbot host platform for operation,
• wherein, the chatbot, during operation, is configured to:
• engage in an interaction with a user via the chatbot host platform,
• use the language analysis model to select one or more QnA pairs from the set of QnA pairs during the interaction, and
• train the language analysis model based on the interaction.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive a request to generate a chatbot;
• determine a chatbot template for the chatbot based on the request;
• obtain custom chatbot information according to the chatbot template;
• generate, using a first machine learning model, a chatbot corpus for the chatbot,
• wherein the first machine learning model generates the chatbot corpus using the custom chatbot information and the chatbot template;
• generate, using a second machine learning model, a set of question and answer (QnA) pairs based on the chatbot corpus;
• configure, using a third machine learning model, a language analysis model for the chatbot;
• build the chatbot according to the set of QnA pairs and the language analysis model;
• and
• deploy the chatbot to a chatbot host platform for operation,
• wherein, the chatbot is built to, while under operation:
• engage in an interaction with a user via the chatbot host platform,
• use the language analysis model to select one or more QnA pairs from the set of QnA pairs during the interaction, and
• train the language analysis model based on the interaction.