The technology behind Conversational AI is something called Reinforcement Learning, where the bot need not have a script to read off a response from. Traditional chatbots need to have scripts written by human agents behind the scenes, and they are told specifically what to do as a response to specific keywords. A conversational AI chatbot on the other hand progressively learns from the past interactions to improve its responses and better understand user intents over time.
CTA_chatbot
Start Building Your AI Chatbot Without Sign up
Imagine a Chatbot who can play the customer support executive as naturally as a human can. It can understand our intent. Go through the multiple layers of a question. And give personalized solutions dentist data in a language we understand.
That is the perfect example of high-level conversational AI!
How Does Conversational AI Work?
Simply put, conversational AI allows computers to process text or voice into a language they understand. The machines then are able to understand the user inputs and respond to them aptly.
There are 4 major components of a smart conversational AI –
NLP (Natural Language Processing) – NLP equips AI systems to comprehend and generate human language, enabling them to understand text and speech inputs.
NLU (Natural Language Understanding) – It involves extracting entities, identifying intents, and resolving ambiguities in language, improving the accuracy and effectiveness of conversational AI systems.
Machine Learning – Machine Learning is the core element that powers conversational AI to improve its performance over time by learning from data and user interactions. Through algorithms and models, machine learning enables AI systems to tailor interactions based on user needs and preferences.
Speech Recognition – Speech Recognition enables conversational AI to transcribe spoken language into text, facilitating voice-based interactions.
- Board index
- All times are UTC
- Delete cookies
- Contact us