Applications
Dialogue System
Dialogue systems manage conversational interaction: understanding user intent, maintaining context, generating relevant responses, and managing conversation flow. Components include natural language understanding (NLU), dialogue management (state tracking, policy), and natural language generation (NLG).
Modern LLMs have largely replaced pipeline-based dialogue systems with end-to-end neural approaches. However, enterprise deployments still use hybrid architectures combining LLM fluency with structured dialogue management for reliability and controllability.
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Related Terms
Applications
Chatbot
Software application that simulates human conversation via text or voice interfaces.
Applications
Multi-turn Dialogue
Conversations involving multiple exchanges where the AI maintains context across all prior turns.
Core Concepts
Natural Language Understanding (NLU)
AI's ability to understand and interpret human language meaning and intent.
Core Concepts
Intent
Underlying purpose or goal a user aims to achieve through a query.