EN

Generative ai vs AI agents vs Agentic AI

#AI Tools
2025-07-25 11:378 min read

Content Introduction

In this video, the speaker clarifies the differences among generative AI, AI agents, and agentic AI. Utilizing simple language, they explain that generative AI is capable of producing new content, such as text, images, and videos, by learning from existing data. AI agents, on the other hand, perform tasks autonomously and make decisions using tools and knowledge. The speaker emphasizes that while generative AI can answer questions based on its limited knowledge, AI agents can execute more complex tasks that involve adapting to specific user needs and utilizing external tools or APIs. The discussion also highlights the potential of combining multiple AI agents to perform multi-step reasoning and autonomous actions in more intricate scenarios. Overall, the video seeks to enhance the viewer's understanding of these evolving AI technologies.

Key Information

  • The goal is to explain the difference between generative AI, AI agents, and agentic AI in simple terms.
  • Generative AI can create new content like text, images, or videos based on learned patterns from existing data.
  • AI agents can perform tasks autonomously, working with tools and making decisions based on programming and context.
  • Agentic AI represents a more complex AI that can process multi-step reasoning and planning involving multiple agents.
  • Generative AI serves as a core component of agentic AI systems, which can also utilize various APIs for enhanced functionalities.
  • Agentic AI allows the creation of systems that can manage tasks like travel arrangements while considering user-specific constraints.

Timeline Analysis

Content Keywords

Generative AI

Generative AI is a type of artificial intelligence that creates new content, such as text, images, or videos, based on patterns learned from existing data. At the core of generative AI is a large language model (LLM) that can generate new text based on its training from vast amounts of internet data.

LLM (Large Language Model)

LLMs, like GPT models, are trained on large volumes of text data and generate responses based on user queries. They can have limitations, such as knowledge cutoff dates, and require access to various APIs to fetch real-time information and perform tasks.

AI agents

AI agents are programs that can take input, think, and act to perform tasks autonomously, moving beyond simple Q&A interactions to executing actions like booking flights or onboarding employees. They can utilize tools and have some level of autonomy but require human oversight.

Agentic AI

Agentic AI refers to systems with one or more AI agents that can work autonomously on complex tasks, utilizing tools and other agents to reach goals. It allows for multi-step reasoning and planning, enhancing the sophistication of AI interactions and applications.

AI agent frameworks

Frameworks like N8N can be utilized to build AI agents, enabling autonomous decision-making and execution of complex tasks. Such systems can integrate generative AI as a core component, allowing for diverse applications like chatbots and task automation.

Related questions&answers

What is generative AI?

Generative AI is an AI that can create new content, such as text, images, or video, based on patterns learned from existing data.

How does generative AI work?

Generative AI generates new text by asking questions and content generation algorithms trained on a large volume of internet data, such as Wikipedia and Google books.

What happens when you ask specific questions to generative AI?

Generative AI may not be able to answer specific questions if they relate to information beyond its last knowledge cutoff date.

Can generative AI perform actions beyond simple question answering?

Yes, generative AI can perform more complex tasks like booking flights by integrating with travel APIs to fetch the latest information.

What defines an AI agent?

An AI agent is a program that takes input, thinks through it, and acts to complete a specific task, often autonomously.

What is agentic AI?

Agentic AI refers to systems where one or more AI agents operate autonomously to achieve complex tasks and make decisions using tools and other agents.

How is agentic AI different from basic generative AI?

Agentic AI involves multi-step reasoning, planning, and autonomy in decision-making, while basic generative AI typically handles simpler tasks and has limitations in autonomy.

What are the different levels of agentic AI?

Levels of agentic AI can include agents with tools, agents with knowledge, and those capable of multi-step reasoning and coordination.

How can one build an agentic AI system?

Building agentic AI systems involves utilizing frameworks and tools like N8N for structuring workflows and integrating AI for different functionalities.

More video recommendations