Input gathering: The user provides input through a website or an app where the format of the input can either be text or voice.Ģ. Here’s the step-by-step process of how conversational AI works.ġ.
#CONVERSATIONAL AI SOFTWARE#
While a conversational chatbot will understand different variations of a user query and respond in an appropriate way, a conventional rule-based chatbot won’t be able to recognize and respond to other variations of the same question and will lead to user frustration.Ĭonversational AI uses Natural Language Processing (NLP) to help software understand the text or voice and then uses machine learning to train software to become more accurate at predicting outcomes without being explicitly programmed to do so.
As the user input grows in these algorithms, the machine learning algorithm gets better at recognizing patterns and making predictions. Machine Learning (ML) - It is a set of algorithms, features, and data sets that helps bots to continuously learn from user behavior, and improve themselves with this experience. There are so many ways humans can express this and NLP can process them in real-time and recognize the underlying intent.Ģ. Think of a question like "Where is my order?". Natural Language Processing (NLP) - It is an AI-driven capability that allows bots to understand the meaning from written or spoken text by associating them with recognized words and phrases. It is a subset of artificial intelligence that leverages concepts like neural networks, machine learning, and NLP to build conversational AI chatbots.Ĭonversational AI has two key components:ġ. Conversational AI is the technology that enables chatbots or virtual agents to have human-like conversations with users by recognizing user inputs and interpreting their meanings.
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