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Introduction to LLM-based Agentic AI from a developer / programmer's point of view. Outline: 00:00:00 Intro 00:00:56 State of Agentic AI 00:08:00 What is "Research and Productivity"? 00:16:40 The Evolution of Agents from LLMs 00:23:20 Auto-regression 00:26:36 Tokenization 00:30:36 Attention 00:32:30 Context 00:35:10 Language Models 00:38:04 from translation to other tasks 00:57:00 Tool calling and the illusion of thinking 01:04:25 How agents call functions? 01:07:41 What makes AI Agentic? 01:11:38 Agent Framework Overview (LangChain) 01:13:55 Agent Runtime Overview (LangGraph) 01:19:10 Agent Platform (LangSmith / LangFuse) 01:20:35 What about Deep Agents?