Explore the fundamentals of LangGraph and its application in creating AI agents with Llama 3 in this 22-minute tutorial video. Learn how to build complex, looping workflows and gain full control over application execution and progress tracking. Discover the process of constructing a simple habit tracker app using custom tools. The video covers key topics including an introduction to LangGraph, app architecture, Google Colab setup, habit tracker implementation, tools definition, graph building, and interacting with the created graph. Gain insights into controlling execution flow and state management in AI agent applications, with practical examples and step-by-step guidance.
AI Agents with LangGraph and Llama 3 - Controlling Execution Flow and State in Agent Apps
Overview
Syllabus
- Intro
- Text tutorial on MLExpert.io
- What is LangGraph?
- App Architecture
- Google Colab Setup
- Habit Tracker
- Tools Definition
- Build the Graph
- Chat with your Graph
- Conclusion
Taught by
Venelin Valkov
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