Automating the Development of Task-oriented LLM-based Chatbots

Abstract

Task-oriented chatbots are increasingly used to access all sorts of services – like booking a flight, or setting a medical appointment – through natural language conversation. There are many technologies for implementing task-oriented chatbots, including Dialogflow, Watson, and Rasa. They rely on an explicit definition of the user intents, conversation flows, and chatbot outputs, which is costly to specify, and sometimes results in suboptimal user experiences and artificial conversations with limited diversity of chatbot responses.

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