Automated Training Of AI Chatbots

An automatically trainable AI request processing system, comprising:

• a natural language processor, said natural language processor having been implemented using only rules-based computer code;
• a functional connection to a pre-trained attention-based neural network, and,
• wherein, said natural language processor is programmed to perform the functions of:
• receiving a request;
• checking a functionally connected request/response database to ascertain whether said request is a known request;
• when said request is determined to be a known request, checking to ascertain whether said known request is a valid request;
• when said associated response is determined to be associated with a known request and is determined to be valid, outputting said associated response;
• when said request is determined to not be a known request or said associated response is determined not to be valid:
• forming a prompt comprising said request;
• sending said prompt to said functionally connected pre-trained attention-based neural network;
• receiving a reply from said generative language chatbot;
• converting said reply into a new response;
• when said associated response was determined not to be a valid response, said request-response AI chatbot is further programmed to compare said new response with said associated response, and,
• when said new response and said associated response are determined to be essentially the same, setting a new validity time limit to a value greater than an associated validity time limit originally associated with said associated response;
• and
• when said new response and said associated response are determined not to be essentially the same, setting said new validity time limit to a predetermined minimum value;
• and,
• replacing said associated response with said new response;
• storing said new response as a valid response on said request/response database;
• and,
• outputting said new response.