Conversational AI
Conversational AI is the broader set of technologies and design practices that enable systems to understand and participate in natural dialogue with users. It includes chatbots, voice assistants, and mixed-initiative interfaces.
In Simple Terms
Think of it as a dialogue partner: the system holds context, follows the thread, and responds in a natural way.
Detailed Explanation
Conversational AI combines NLP (understanding intent, entities), dialogue management (turn-taking, context), and generation (responses, suggestions). It may use LLMs, traditional NLU, or both. Good design considers personality, error handling, escalation, and accessibility. The term emphasizes the user experience of having a back-and-forth conversation rather than one-off Q&A. It is used across customer service, productivity tools, and assistive applications.
Related Terms
Context Engineering
Context engineering is the practice of structuring and managing context—including system prompts, RAG (Retrieval-Augmented Generation), memory, and few-shot examples—so AI systems have the right information to answer accurately.
Read moreNatural Language Processing
Technology that helps computers understand, interpret, and manipulate human language.
Read moreRAG
Retrieval-Augmented Generation combines AI models with external knowledge retrieval for accurate responses.
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