What Is Conversational AI vs Generative AI?
Conversational AI chats with you like a real person. The technology allows machines to interact with people in a more humanistic way. Generative AI makes new content when you ask. It helps users create new content with machine learning algorithms and the data on which technology has been trained.
Learn more about conversational AI and generative AI by watching this Buzzwords video.
Definition of Conversational AI
Conversational AI simulates human conversation, making robots or virtual assistants talk like us. Examples of conversational AI are Apple’s Siri and Microsoft’s CoPilot.
There are many types of conversational AI, such as AI chatbots, rule-based chatbots, hybrid chatbots, voice bots, and interactive voice assistants.
Definition of Generative AI
Generative AI makes high-quality text, images, and other content based on what it's learned from existing data. Chat GPT mostly uses this kind of AI.
There are quite a few types of generative AI. You may be most familiar with Transformer Models, which help to create text to text AI, and Deep Convolutional Generative Adversarial Networks, which are used to make text to image AI.
There are also Variational Autoencoders, Autoregressive models, Recurrent Neural Networks, and Reinforcement Learning for Generative Tasks.
How Conversational & Generative AI Work Together
When the two are combined, companies enhance their customer service. They can offer cost-effective solutions through automation, handle large volumes of customer interactions at the same time, and have 24/7 support.
Motivated to learn more? Look into Impact’s Buzzword video series, showcasing short videos that break down popular topics concentrated on business technology.