What are AI Agents. Let’s build one
AI Summary
The video explains the concept of Agentic AI and how it differs from Generative AI. Generative AI responds to inputs by generating outputs without autonomous action, while Agentic AI combines a large language model (LLM) as a brain with the ability to take actions autonomously. Agentic AI includes components like goals, planning, reasoning, memory (optional), and autonomy through tools that enable it to act, such as file creation or sending emails. The video provides practical understanding without complex jargon and contrasts the passive nature of Generative AI with the active, goal-driven nature of Agentic AI. It further discusses frameworks like LangGraph, AutoGPT, and Crew AI to help build Agentic AI systems. Lastly, the video includes a hands-on coding walkthrough where an AI agent is built using OpenAI’s model to classify tasks by priority, demonstrating aspects of goal-setting, planning, a form of memory, reasoning, and autonomy. The demonstration highlights that while the built agent is not fully autonomous yet, it meets many criteria of an AI agent and can be extended for more complex tasks, such as auto-emailing or Slack notifications. The presenter encourages viewers to try building AI agents themselves and offers support for coding in Python or JavaScript.