AI BriefingEverything You Need to Know About Conversational AI Agents
Key point
Conversational AI agents use NLP, LLMs, and other technologies to communicate as naturally as humans and provide customized solutions.
Details
While existing rule-based chatbots only answered predetermined questions, conversational AI agents understand human language patterns and intent to carry out natural interactions.
This technology combines NLP (Natural Language Processing), Machine Learning, LLM (Large Language Models), and speech recognition technologies to grasp human intent and generate accurate responses. In particular, AI-based Text to Speech technology makes it possible to implement voice responses that are difficult to distinguish from humans.
The main types are as follows:
- AI-based chatbots: Like ChatGPT 4o, these use NLP to provide flexible, data-driven answers even to questions outside the standard scope.
- Voice-recognition virtual assistants: Like Siri, Alexa, and Google Assistant, these analyze voice instead of text to carry out users' commands.
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