Generative AI vs AI agents vs Agentic AI

About this video

• Video Title: Generative AI vs AI agents vs Agentic AI
• Channel: codebasics
• Speakers: Not explicitly mentioned, but the transcript is a monologue.
• Duration: 10:10

Overview

This video aims to clarify the distinctions between Generative AI, AI Agents, and Agentic AI in simple terms. It explains how Generative AI creates new content, how AI Agents use tools and memory to complete specific tasks, and how Agentic AI involves multiple agents or a single agent with advanced capabilities to handle complex, multi-step goals autonomously.

Key takeaways

• Generative AI: AI that creates new content (text, images, video) based on learned patterns from existing data, often powered by Large Language Models (LLMs) like GPT-4. It has a knowledge cut-off date unless integrated with external tools.
• AI Agent: An AI program that takes input, thinks, and acts to complete a task. It can use tools, memory, and knowledge, and demonstrates some level of independent decision-making for narrow, specific tasks.
• Agentic AI: A system where one or more AI agents work autonomously, often over complex, multi-step tasks. It involves planning, coordination, tool usage, and can interact with other agents to achieve a goal. Generative AI is a core component of agentic AI systems.
• Evolution of Complexity: The video illustrates a progression from simple Generative AI (Q&A), to AI Agents (performing narrow tasks with tools), to Agentic AI (handling complex, multi-step goals with planning and coordination), with increasing capabilities and sophistication.