BiteSizedChunks.comLearn one small thing at a time.

Course contentsShow

669Introduction to Multi-Agent Systems
670Agent Role Definition Patterns
671Specialist vs Generalist Agents
672Task Decomposition for Multi-Agent Systems
673Agent Capability Interfaces
674System Prompts for Role Specialization
675Model Selection by Agent Role
676Agent Registry and Discovery
677Role-Based Access Control for Agents
678Testing and Evaluating Individual Agent Roles
679Message Passing Between Agents
680Synchronous vs Asynchronous Communication
681Shared Memory and Blackboard Architectures
682Message Protocols and Schemas
683Pub-Sub Patterns for Agent Events
684Direct Addressing vs Broadcasting
685Message Queues and Buffering
686Conflict Resolution in Communication
687Communication Middleware and Frameworks
688Debugging and Tracing Agent Conversations
689Sequential Agent Coordination
690Parallel Agent Execution
691Hierarchical Agent Organization
692Peer-to-Peer Agent Communication
693Consensus and Voting Mechanisms
694Task Decomposition and Distribution
695Result Aggregation Strategies
696Conflict Resolution Patterns
697Blackboard Architecture for Shared State
698Dynamic Agent Routing
699Handoff Protocols Between Agents
700Coordination Overhead and Performance
701Overview of Multi-Agent Frameworks
702AutoGen Architecture and Conversable Agents
703Building AutoGen Multi-Agent Workflows
704CrewAI Framework Fundamentals
705Defining Crews and Assigning Roles in CrewAI
706LangGraph for Multi-Agent State Management
707Collaborative Research and Analysis Use Cases
708Content Creation with Specialized Agents
709Customer Support and Triage Systems
710Code Generation and Review Workflows
711Decision-Making and Planning Use Cases
712Framework Selection and Custom Solutions

669Introduction to Multi-Agent Systems
670Agent Role Definition Patterns
671Specialist vs Generalist Agents
672Task Decomposition for Multi-Agent Systems
673Agent Capability Interfaces
674System Prompts for Role Specialization
675Model Selection by Agent Role
676Agent Registry and Discovery
677Role-Based Access Control for Agents
678Testing and Evaluating Individual Agent Roles
679Message Passing Between Agents
680Synchronous vs Asynchronous Communication
681Shared Memory and Blackboard Architectures
682Message Protocols and Schemas
683Pub-Sub Patterns for Agent Events
684Direct Addressing vs Broadcasting
685Message Queues and Buffering
686Conflict Resolution in Communication
687Communication Middleware and Frameworks
688Debugging and Tracing Agent Conversations
689Sequential Agent Coordination
690Parallel Agent Execution
691Hierarchical Agent Organization
692Peer-to-Peer Agent Communication
693Consensus and Voting Mechanisms
694Task Decomposition and Distribution
695Result Aggregation Strategies
696Conflict Resolution Patterns
697Blackboard Architecture for Shared State
698Dynamic Agent Routing
699Handoff Protocols Between Agents
700Coordination Overhead and Performance
701Overview of Multi-Agent Frameworks
702AutoGen Architecture and Conversable Agents
703Building AutoGen Multi-Agent Workflows
704CrewAI Framework Fundamentals
705Defining Crews and Assigning Roles in CrewAI
706LangGraph for Multi-Agent State Management
707Collaborative Research and Analysis Use Cases
708Content Creation with Specialized Agents
709Customer Support and Triage Systems
710Code Generation and Review Workflows
711Decision-Making and Planning Use Cases
712Framework Selection and Custom Solutions

← AI Engineering

Lesson 695 of 1,886·17. Multi-Agent SystemsPro lesson

Result Aggregation Strategies

Combine outputs from multiple agents using techniques like majority voting, weighted averaging, or synthesis.

This lesson is for subscribers

You've completed the free preview. Subscribe to unlock every lesson in every course.

See pricing Back to course