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Generative AI vs Agentic AI
Differentiating Gen AI and Agentic AI:
Generative AI (The Reactive Creator): Understand its current dominance, focus on content creation, and reactive nature (waiting for a prompt/instruction to produce text, images, or code). Examples: ChatGPT, Gemini.
Agentic AI (The Proactive Assistant): Learn about its autonomous capability to plan, decide, and execute complex tasks with minimal human guidance, based on high-level goals. Examples: Smart personal assistants, automated workflow executors. * The Roadmap to Agentic AI: Explore the four stages of AI evolution as presented in the video:
Today: Generative AI Dominates: Focused on content/pattern recognition and linear prompt-output workflows.
Near Future: Hybrid Systems Emerge: Combining creative Gen AI with limited autonomy for basic decision-making and multi-step tasks.
Next Stage: Agentic AI Matures: Achieving fully autonomous, goal-oriented capabilities, real-time planning, and adaptation. Agents learn from experience and complex workflows.
Vision: Intelligent AI Collaboration: Seamless human-AI partnerships where AI proactively manages tasks, optimizes outcomes, and daily life naturally integrates human and AI effort.