Conversational AI

Conversational AI systems typically involve several key components: Natural Language Understanding (NLU) to interpret user input, Dialogue Management to track the conversation's state and determine the appropriate response, and Natural Language Generation (NLG) to formulate coherent and contextually relevant answers. These systems can be rule-based, relying on predefined scripts and decision trees, or AI-driven, leveraging machine learning models (such as Large Language Models) to understand intent, extract entities, and generate responses. The choice of approach depends on the complexity of the task and the desired level of flexibility and personalization. Conversational AI is used in chatbots, virtual assistants, voice-activated devices, and interactive voice response (IVR) systems to automate customer service, provide information, and complete tasks.