Conversational AI
AI technology that enables natural, multi-turn conversations between humans and machines. It combines NLU, dialog management, and NLG to maintain coherent, contextual interactions.
Why It Matters
Conversational AI is how most consumers experience AI. The quality of conversation directly determines user adoption and satisfaction.
Example
A healthcare chatbot that remembers earlier symptoms mentioned in the conversation, asks follow-up questions, and maintains context across a 20-message interaction.
Think of it like...
Like the difference between talking to a goldfish (no memory, no context) and talking to a friend (remembers what you said, builds on the conversation).
Related Terms
Chatbot
An AI application designed to simulate conversation with human users through text or voice. Modern chatbots use LLMs to provide natural, contextually aware responses.
Natural Language Processing
The branch of AI that deals with the interaction between computers and human language. NLP enables machines to read, understand, generate, and make sense of human language in a useful way.
Context Management
Strategies for efficiently using an LLM's limited context window, including what information to include, how to compress it, and when to summarize or truncate.
Large Language Model
A type of AI model trained on massive amounts of text data that can understand and generate human-like text. LLMs use transformer architecture and typically have billions of parameters, enabling them to perform a wide range of language tasks.