Building a Knowledge Set
Systematically understand AI Agents, from foundational theory to practical application, optimization, and maintenance.
Knowledge and skills about AI Agents
Learning about the AI automation platform.
Fundamental Concepts of AI Agents
- What is an AI Agent?
- Types of AI Agents
- Differences
- Applications of AI Agents
Technical Architecture and Working Principles
- Technical Stack of AI Agents
- Decision-Making Mechanisms
- Task Flow Design
- System Architecture
Data and Models
- Data Input and Processing
- Model Selection and Optimization
- Self-Learning Capabilities
- Model Monitoring and Updating
Development and Deployment
- AI Agent Development Frameworks
- Modular Design
- Deployment and Testing
- Integration Capabilities
Human-AI Interaction
- Multimodal Interaction
- User Experience Optimization
- Context Understanding and Conversation Memory
- Feedback Mechanisms
Security and Ethics
- Data Privacy Protection
- Bias and Fairness
- Risk Management
- Legal and Compliance Issues
Performance Optimization
- Performance Evaluation
- Optimization Techniques
- Maintenance Strategies
- Scalability
Practice and Experimentation
- Project-Based Learning
- Experiment Tasks
- User Feedback Testing
- Continuous Improvement
Knowledge Sharing
Fully understand the latest developments and trends of AI agents, and master the most cutting-edge knowledge and skills.
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