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Closing Remarks: Resources and Next Steps
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Classroom Contents
Multi-Agent Frameworks for LLM Applications: From Theory to Implementation
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- 1 Introduction to Multi-Agent Frameworks
- 2 Why Do We Need Multiple Agents? Understanding Agentic Behavior
- 3 Types of Multi-Agent Workflows: Router, Consolidator, and Sequential Models
- 4 Building Multi-Agent Scenarios: Nodes, Edges, and Conditional Logic
- 5 Setting Up a Multi-Agent Workflow: A Step-by-Step Guide
- 6 Hands-On Exercise: Creating a Supervisor Agent
- 7 Practical Demo: Portfolio Website Creation and Research Report Generation
- 8 Q&A: Optimizing Multi-Agent Systems and Real-World Applications
- 9 Closing Remarks: Resources and Next Steps
