AI Agents Explained: How LLMs Use Tools | AI Explained #13

AI Agents Explained: How LLMs Use Tools – episode 13 of AI Concepts Explained, a free beginner-friendly AI and machine learning course by Irfan Hayat. What are AI agents? Irfan Hayat explains how language models use tools, the plan-act-observe loop, function calling, memory and safety guardrails, with animated diagrams and a simple agent loop in Python. What you'll learn • Chatbot vs agent: talking vs doing • Tool use and function calling • The plan, act, observe loop • A tiny agent loop in Python • Memory, guardrails and human approval Chapters 00:00 Intro 00:35 Chatbot vs agent 01:07 Function calling 01:50 A tiny agent loop in Python 02:35 Memory and planning 03:09 Guardrails and safety 03:41 Guardrails in Python 04:34 Agent design patterns 05:25 Real-world agent examples 06:14 An agent run, step by step 07:06 Quick quiz 07:46 Recap 08:13 Next: Generative AI All slides, code examples and explanations are original. Narration uses a synthetic (text-to-speech) voice reading the instructor's original script. No music, third-party footage or logos are used. ▶ Full series: AI Concepts Explained playlist #AIAgents #ArtificialIntelligence #LLM