Here are conceptual questions based on the video, focusing on understanding and comparison of Generative AI and Agentic AI, their functionalities, and their potential real-world applications:
1. What is the fundamental difference between Generative AI and Agentic AI?
Answer:
Generative AI is reactive and generates content based on user prompts, while Agentic AI is proactive and uses prompts to pursue goals through a series of autonomous actions.
2. Why is Generative AI described as a "sophisticated pattern matching machine"?
Answer:
Because it learns statistical relationships (patterns) in data during training and uses those patterns to generate appropriate outputs based on prompts.
3. What is the main limitation of Generative AI mentioned in the video?
Answer:
It does not take further steps beyond generation unless explicitly prompted again by a human—it lacks autonomy.
4. What is meant by the term "agentic life cycle" in Agentic AI?
Answer:
It refers to the loop of perceiving the environment, deciding on an action, executing it, learning from the outcome, and repeating the process.
5. How do LLMs contribute to both Generative and Agentic AI systems?
Answer:
LLMs serve as the backbone for both systems, providing content generation capabilities for Generative AI and reasoning abilities (like chain-of-thought) for Agentic AI.
6. What is "chain-of-thought reasoning" and why is it important in Agentic AI?
Answer:
It’s a method where the AI breaks down complex tasks into smaller logical steps—essentially enabling agents to reason through problems similarly to humans.
7. In the video, what real-world example is used to demonstrate a generative AI use case?
Answer:
Helping write a fan fiction novel, reviewing scripts for YouTube, suggesting thumbnail concepts, and generating background music.
8. What example illustrates the capabilities of Agentic AI in the video?
Answer:
A personal shopping agent that finds products, compares prices, handles checkout, and manages delivery with minimal human input.
9. How does human involvement differ between Generative and Agentic AI systems as described?
Answer:
Generative AI typically involves constant human input for prompting and refinement, while Agentic AI operates more autonomously, seeking input only when necessary.
10. What future trend is predicted for AI systems in the video?
Answer:
The most powerful systems will combine both generative and agentic capabilities—acting as intelligent collaborators that know when to generate and when to act.
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