Conversational AI vs Generative AI
Q. What are the main uses of Conversational AI?
Conversational AI is mainly used in virtual assistants, customer service automation, and chatbots.
Q. Can Generative AI create entirely new content?
Yes, Generative AI can create entirely new content, whether it will be text, images, music, or other forms of media.
Q. Is Conversational AI limited to text-based interactions?
No, Conversational AI can also encompass voice-based interactions, as seen in smart speakers and voice-activated assistants.
Q. Can Generative AI be used in business applications?
Yes, businesses use Generative AI for a range of applications, including marketing content creation, product design, and data modeling.
Q. How does Conversational AI understand context?
Conversational AI uses natural language understanding and context tracking to maintain coherent and relevant dialogues.
Differences between Conversational AI and Generative AI
Artificial intelligence has evolved significantly in the past few years, making day-to-day tasks easy and efficient. Conversational AI and Generative AI are the two subsets of artificial intelligence that rapidly advancing the field of AI and have become prominent and transformative. Both technologies make use of machine learning and natural language processing to serve distinct purposes and work on different principles. These technologies, though distinct in their applications and principles, both leverage the power of machine learning(ML) and natural language processing(NLP) to transform various industries.
In this article, let us explore what is Generative and conversational AI and how they work, and also let us compare generative AI and conversational AI by focusing on their respective abilities and features.
Table of Content
- What is Conversational AI?
- What is Generative AI?
- How does Generative AI work?
- How does Conversational AI work?
- Differences between Conversational AI vs.Generative AI
- Conclusion
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