Using LLM for Dialogue Management Tasks

Dialogue management is the logic layer that decides what a conversational system should do next. Traditional implementations rely on finite state machines or intent classifiers that fragment when users stray from expected paths. Large language models can act as flexible dialogue managers, interpreting intent, tracking implicit state across turns, and deciding whether to respond directly, request clarification, or invoke an external tool. From Rules to Models Classical dialogue systems separate...