Cross-Domain Agents
Design agents that transfer knowledge across different domains
Your Progress
0 / 5 completed10 Essential Insights
🎉
Module Complete!
You've mastered cross-domain agents - from transfer mechanisms to production deployment
What You've Learned:
- ✓How cross-domain transfer reduces training cost by 90% and accelerates deployment 10x
- ✓Four transfer mechanisms: feature, architecture, parameter, and knowledge distillation
- ✓Domain adaptation strategies from supervised to unsupervised approaches
- ✓Production architecture with transfer engine, adapters, evaluator, and multi-domain pipeline
- ✓Best practices for measuring domain gaps and preventing catastrophic forgetting
Your Next Steps
🚀Immediate Actions (This Week)
- 1.Identify 2-3 target domains where you need agents
- 2.Measure domain similarity using embedding distances
- 3.Try few-shot transfer on one domain with 10-20 examples
📚Short-term Goals (This Month)
- 1.Implement domain adapter system for 3 target domains
- 2.Set up evaluation pipeline to measure transfer effectiveness
- 3.Compare cost/accuracy of transfer vs from-scratch training
🎯Long-term Vision (Next Quarter)
- 1.Deploy multi-domain agent system serving 5-10 domains from single base
- 2.Implement continuous learning loop that improves base model monthly
- 3.Document ROI: cost saved, time saved, accuracy achieved across domains