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Generative AI Vs Agentic AI Vs AI Agents | Difference Between Agentic AI, Generative AI & AI Agents

#AI Tools
2025-09-03 01:158 min read

Content Introduction
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The video explores the differences between generative AI, agentic AI, and AI agents. It highlights that while generative AI focuses on content creation based on learned patterns, agentic AI acts as a more advanced orchestrator capable of planning and executing multi-step tasks autonomously. AI agents are described as specialized tools performing specific tasks, such as data entry or customer service. The video uses simple analogies to clarify each AI type's functionality, demonstrating real-world applications and emphasizing the growing importance of AI in various sectors. Additionally, it discusses a professional certification program in AI and machine learning, aiming to equip viewers with practical skills for career advancement.

Key Information

  • The speaker addresses the confusion surrounding the terms generative AI, agentic AI, and AI agents, highlighting that each term describes a different type of AI with unique roles.
  • Generative AI is defined as a creative brain capable of producing content like text, images, and ideas based on patterns learned from large datasets.
  • AI agents are described as reliable task doers that can perform specific instructions, while agentic AI is an autonomous orchestrator that can reason, plan, and coordinate multiple tasks.
  • The speaker emphasizes that agentic AI can plan and execute entire workflows, adapting to changes in tasks or goals, and coordinating between multiple systems and agents.
  • Examples of generative AI include automated content creation tools, while AI agents can help with tasks like flight booking or data handling, and agentic AI can manage more complex, multi-step processes.
  • The speaker concludes by highlighting the importance of understanding the key differences between these types of AI and their practical applications.

Timeline Analysis

Content Keywords

Generative AI

Generative AI refers to artificial intelligence that creates new content such as text, images, and music based on learned patterns from data. It learns from extensive datasets to generate fresh outputs without merely repeating information.

AI Agents

AI agents are programs that can perform tasks by taking actions, rather than just generating responses. They utilize generative AI as their core and are capable of interacting with external tools and APIs to fulfill specific assignments.

Agentic AI

Agentic AI acts as an autonomous orchestrator, capable of planning, reasoning, and managing multiple tasks and interactions among different agents and tools. It can execute workflows with minimal human supervision, adapting to changes and keeping track of progress.

Use Cases

Generative AI is used in businesses for tasks like automatically writing product descriptions or generating research summaries. AI agents facilitate processes like data movement between applications, while agentic AI empowers complex workflows and decision-making.

AI in Decision Making

AI tools, whether generative, agentic, or agent-based, enhance decision-making capabilities, but they require accurate data input and regular updates to function optimally without going off track.

Related questions&answers

What is generative AI?

Generative AI is a type of artificial intelligence designed to create new content, such as text, images, and music, based on patterns learned from data.

What is agentic AI?

Agentic AI refers to AI systems that can autonomously orchestrate tasks, make decisions, and reason, functioning more like a project manager that coordinates multiple actions.

How do generative AI and AI agents differ?

Generative AI focuses on content creation, while AI agents can perform specific tasks and actions, utilizing external tools and APIs to achieve their objectives.

Can generative AI understand facts?

No, generative AI does not truly understand facts and can sometimes produce incorrect or nonsensical responses, a phenomenon known as 'hallucination.'

What are the strengths of agentic AI?

Agentic AI excels at planning, reasoning, and coordinating complex multi-step processes, often requiring minimal human supervision.

Can AI agents work with short-term memory?

Yes, AI agents typically work with short-term memory, allowing them to remember details and context while performing tasks.

What is an example of generative AI in use?

Companies like Belulk use generative AI to automatically create product descriptions, saving time on content generation.

How does agentic AI enhance task execution?

Agentic AI can manage entire workflows, integrating actions across multiple agents, tools, and systems to achieve broader objectives.

Why is autonomy important in AI?

Autonomy allows AI systems to operate independently and manage tasks effectively without constant human input, improving efficiency and scalability.

What kind of tasks are AI agents best at?

AI agents excel at repetitive, well-defined tasks that can benefit from automation, such as data handling and transactional operations.

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