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In this video, we explore "What Is Generative AI?" We'll delve into the components and architecture that make up Generative AI, highlighting how it differs from traditional AI. Discover the wide range of applications for Gen AI, from creating art and music to generating realistic text and images. We'll also address the challenges and ethical concerns associated with this technology. Join us for an in-depth look at how Generative AI is shaping the future of artificial intelligence and creativity. Don't forget to like, comment, and subscribe for more insightful content!

00:00 Introduction
02:14 What is Generative AI?
04:12 Components and Architecture of Gen AI
06:02 How Gen AI is different from AI
07:06 Gen AI Applications
08:30 Challenges and ethical concerns

✅ What is Generative AI?
Answer: Generative AI creates new data using models like GANs and VAEs, generating text, images, music, and more, offering innovative outputs.

✅ How is Generative AI different from traditional AI?
Answer: Traditional AI analyzes existing data for tasks like prediction, while Generative AI creates entirely new data, adding a creative dimension.

✅ What are the ethical concerns with Generative AI?
Answer: Ethical concerns include the potential for creating misleading content, copyright issues, and biased outputs, requiring responsible use and oversight.

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#GenerativeAI #GenAIVsAI #ArtificialIntelligence #MachineLearning #2024 #Simplilearn

➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.

IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

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