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AI Agents Explained: A Comprehensive Guide for Beginners
AI Agents Explained: A Comprehensive Guide for Beginners by Alfie Marsh Co-Founder & CEO of https://www.toolflow.ai/
(0:00) Introduction to AI Agents
(0:23) What is an AI Agent?
(0:49) How AI Agents Differ from Traditional Software
(1:36) AI Agents vs Large Language Models (LLMs)
(2:50) How AI Agents Work
(3:16) Component 1: Planning
(3:47) Component 2: Interacting with Tools
(4:10) Component 3: Memory and External Knowledge
(5:07) Component 4: Executing Actions
(5:39) Risks and Future of AI Agents
(6:30) Conclusion
In this video, Alfie Marsh, Co-Founder & CEO of Toolflow.ai, unpacks the world of AI agents and explains how they are evolving to become an integral part of our lives. Discover what AI agents are, how they differ from traditional automations and other large language models (LLMs) like GPT, Claude, and Gemini, and explore real-world examples of AI agents in action.
Learn about the key components that make up AI agents, including their ability to plan, interact with tools, store memory, access external knowledge, and execute actions autonomously. Alfie also discusses the potential risks and the future of AI agents as they become more sophisticated with advancements in language models like GPT-4 and beyond.
Whether you're interested in building AI agents, understanding how they work, or exploring no-code solutions and tutorials, this video provides a comprehensive overview of AI agents and their growing importance in our lives and careers.
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Top Comments
Your editor has no chill.
Great one line summary: AI agents are autonomous agents that can create plans, have access to tools (web search, database access, API invocation etc), have memory, use RAG, and finally take actions (send email, schedule a meeting etc)
awesome video, loved it! My AI tech consists just of openai, crewai & composio, that's it.
Such a simple and easy to understand explanation. Appreciate it
First of all, thank you so much. I have to learn everything on 2.0 speed because I am doing always 1 million things. That’s why I would like to learn how to create agents. I am also worried about making an agent that makes mistakes so how does it generate its chain of actions. Do you also have a short course on step one step two step three to creating an agent that can perform a single or three actions and from where does it operate? Can it be on your computer? Is it via your browser? I know these are sounding very ignorant, but I’m quite familiar with using different. LLMs and I am glad you roped that in to explain the difference. I’m also trying to understand the difference between the assistant versus the agent. The assistant is just doing LLM work in context with an app And the agent is autonomously, figuring out actions that are happening when you are at your computer and starting a series of actions based on that? Thank you so much for a great video and looking forward to learning more even if you just send a link to another video that explains that’s so great and thank you!
