Multi-Agent Systems: From Theory to Practice

Multi-agent systems, from fundamentals to practical implementation

πŸ“… February 28, 2025
πŸ“ Online Presentation

Multi-Agent Systems: From Theory to Practice

Presentation Content

Key Topics Covered

1. Theoretical Foundations

  • Agent Definition: Understanding what constitutes an intelligent agent
  • System Architecture: Different organizational structures for multi-agent systems
  • Interaction Patterns: How agents communicate and collaborate

2. Design Patterns

  • Workflow Patterns: Serial, parallel, conditional, and loop processing
  • Agent Patterns: ReAct, Plan & Execute, Reflection patterns
  • Multi-Agent Coordination: Hierarchical, peer-to-peer, and marketplace patterns

3. Practical Implementation

  • Framework Selection: Comparing LangGraph, AutoGen, and Swarm
  • Best Practices: Design principles, error handling, and monitoring
  • Real-World Applications: Code generation, research assistance, customer service

4. Challenges and Solutions

  • Scalability: Handling complex multi-agent interactions
  • Reliability: Ensuring consistent performance across agents
  • Observability: Monitoring and debugging multi-agent systems

Target Audience

This presentation is designed for:

  • AI Engineers looking to implement multi-agent systems
  • Software Architects designing complex AI applications
  • Product Managers evaluating multi-agent solutions
  • Researchers interested in multi-agent system patterns

Learning Outcomes

After this presentation, attendees will be able to:

  1. Distinguish between workflows and multi-agent systems
  2. Choose appropriate design patterns for their use cases
  3. Select the right framework for their implementation
  4. Apply best practices for building reliable multi-agent systems
  5. Understand common pitfalls and how to avoid them

Resources


This presentation provides a comprehensive overview of multi-agent systems, bridging the gap between theoretical concepts and practical implementation.