Stop Building Chatbots, Start Building AI AGENTS! ๐Ÿค– #shorts #ai #chatgpt #automatedsolutions

Tech Stack Learning ยท Beginner ยท๐Ÿง  Large Language Models ยท1w ago
Move beyond simple chatbots that only talk! In this video, we break down the anatomy of an AI agent and show you how to build one that actually takes action using LangChain. Whatโ€™s inside: The 5 Core Pillars: LLM (Brain), Memory, Tools (Action Layer), Planning, and Environment Interaction. The Autonomous Loop: Understanding the Input โ†’ Think โ†’ Act โ†’ Observe cycle that makes agents dynamic. Live Code: A quick look at initializing an agent with a calculator tool and ConversationBufferMemory. Visualizing Thought: Seeing the "thinking steps" in the terminal using
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5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
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5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)