Conversational Artificial Intelligence is a branch of AI that focuses on developing and using AI systems to interact and naturally communicate with humans, typically through speech or text. The goal of conversational AI is to create AI systems that can understand and respond to human language input in a meaningful and relevant way.
Conversational AI often relies on machine learning techniques, particularly in areas such as natural language processing (NLP) and deep learning, to analyze and interpret human input and generate appropriate responses. By training on large datasets, conversational AI systems can learn to understand and engage with different types of questions and expressions.
Examples of conversational AI include voice assistants like Siri, Alexa, Google Assistant, chatbots, and virtual support agents. These systems are often used to answer questions, provide recommendations, perform tasks, and assist users with various needs. A new trend is to utilize Large Language Models, as made popular by ChatGPT, to improve the responses from traditional chatbots and voice assistants.
Conversational AI has many applications across different domains, such as customer support, healthcare, education, commerce, and much more. It continues to evolve and improve to be able to communicate even more naturally and understandingly with humans.
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