Gen AI vs Agentic AI | Key Differences, Use Cases & Future of Artificial Intelligence

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In this video, we explore the fascinating world of Generative AI (Gen AI) and Agentic AI, two breakthrough technologies reshaping the future of artificial intelligence.

???? What is Generative AI?
Generative AI focuses on creating new content such as text, images, code, or designs based on patterns in data. Tools like ChatGPT or DALL-E are examples of Gen AI models that respond to prompts and generate creative outputs.

???? What is Agentic AI?
Agentic AI, on the other hand, goes beyond creation. It is designed to plan, decide, and act autonomously, often using generative AI as a building block. These AI systems can integrate with tools, manage workflows, and execute multi-step tasks with minimal human supervision.

???? Key Takeaways from This Video:

Difference between Generative AI vs Agentic AI

How Agentic AI builds upon Gen AI

Real-world use cases across healthcare, business, retail, and automation

Opportunities, challenges, and ethical considerations of Agentic AI

The future of AI: from content generation to autonomous action

???? If you’re a student, researcher, or tech enthusiast, this video will help you clearly understand the evolving landscape of AI.

⚠️ Disclaimer:
This video is created only for educational, learning, and knowledge-building purposes. The content is AI-generated, and while efforts have been made to ensure accuracy, some information may be incorrect, incomplete, or outdated. Kindly verify facts from reliable sources before using them for academic, professional, or research purposes.

#GenAI #AgenticAI #ArtificialIntelligence #MachineLearning #FutureOfAI #AIEducation #ProfessorRahulJain

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