Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Understanding Antigravity’s Agent Architecture for Government
- Internal representations and state models
- Layered behavior coordination
- Action generation pathways
Memory Systems for Long-Lived Agents for Government
- Short-term versus long-term memory behaviors
- Persistent knowledge storage patterns
- Preventing memory corruption and drift
Feedback Loops and Behavior Shaping for Government
- Human-in-the-loop feedback strategies
- Reinforcement mechanisms and reward adjustment
- Self-evaluation and self-correction techniques
Learning Over Time for Government
- Tracking agent learning progress
- Detecting and mitigating skill decay
- Adaptive updating based on operational context
Knowledge Base Construction and Retention for Government
- Building structured long-term knowledge graphs
- Semantic retrieval and memory indexing
- Maintaining knowledge relevance and freshness
Agent Interactions and Multi-Agent Ecosystems for Government
- Cooperative and competitive behaviors
- Collective memory and shared state
- Scaling emergent patterns across systems
Developer Feedback Integration for Government
- Reviewing and annotating agent artifacts
- Automated evaluation pipelines
- Incorporating human judgment into learning loops
Advanced Optimization and Future Directions for Government
- Performance tuning for long-duration tasks
- Predictive modeling of agent evolution
- Architectural trends and research frontiers
Summary and Next Steps for Government
Requirements
- A comprehensive understanding of autonomous agent architectures for government applications
- Experience with large-scale AI systems in public sector environments
- Familiarity with reinforcement learning concepts and their application in governmental projects
Audience
- Senior AI engineers for government agencies
- Agent-platform architects within public sector organizations
- Research and development teams focused on governmental initiatives
14 Hours
