Welcome to the AI Agents section of the AI Engineering Academy! This module explores the fascinating world of AI agents, from basic patterns to practical applications. Learn how to create, orchestrate, and deploy intelligent agents that can perform complex tasks and reason about their environment.
📚 Warehouse structure
| form | assemblies | descriptive |
|---|---|---|
| Patterns | Reflection Pattern (Reflection Pattern) | Self-assessment and improvement mechanisms |
| Tool Pattern | Tool Usage and Integration Framework | |
| Planning Pattern | Strategic decision-making and mission planning | |
| Multiagent Pattern (MAP) | Realization of the Synergistic Intelligent Body System | |
| Projects | Multi-document Agents (MDAs) | Document Processing Practical Applications |
🎯 Core model
1. 🔄 Reflection and learning
Implementing self-improvement mechanisms for more powerful intelligences.
- Performance self-assessment
- Tactical adjustments
- Learning from experience
- error recovery
- continuous improvement cycle
2. Use of the 🛠️ tool
Develop intelligences that can effectively use external tools and APIs.
- Tool selection logic
- API Integration Model
- error handling
- Resource management
- Toolchain organization
3. 📋 Planning and strategy
Acquire strategic decision-making and mission planning capabilities for autonomous intelligences.
- target decomposition
- Action Sequence Planning
- Resource allocation
- risk assessment
- Adaptive planning strategies
4. 🤝 Multi-intelligence systems
Learning to implement collaborative AI systems that enable multiple intelligences to work together to achieve complex goals.
- Intelligent Body Communication Protocol
- Tasking and coordination
- Conflict resolution mechanisms
- Collaborative problem solving
- Spontaneous behavior management
🚀 Hands-on projects
multidocumentary intelligence
Demonstrate the practical application of multi-document processing:
- Concurrent Document Processing
- Extraction of information
- Cross-reference analysis
- Executive Summary
- Knowledge synthesis
💡 Implementation Guidelines
best practice
- Intelligent Body Design
- Clear definition of responsibilities
- Robust error handling
- Efficient use of resources
- Scalable Architecture
- system integration
- API standardization
- communications protocol
- Safety Considerations
- performance optimization
- Testing and validation
- Unit Testing Strategy
- integration test
- Performance benchmarking
- Behavioral Validation
📚 Learning Pathways
- Start with a single mode notebook
- Combining Patterns in Simple Scenes
- Realization of the Multi-Document Intelligence Body Project
- Development of customized intelligent body systems
