Machine learning model management and experiments. Train, evaluate, and improve your AI models through systematic experimentation.
Dashboard
- 📈Learning Overview - View learning module status
- 🔬Active Experiments - See running experiments
- 📊Model Performance - Track model metrics
Feedback
Collect and review agent feedback:
- 📥Collect Feedback - Gather user feedback on agent responses
- 📊Analyze - Identify patterns and improvement areas
- 🔄Iterate - Use feedback to improve models
Models
Manage ML models:
- ➕New Model - Create/train new models
- 📋Model Registry - View all registered models
- 🔄Deploy - Deploy models to production
Experiments
Run and manage learning experiments:
- ➕New Experiment - Set up A/B tests and evaluations
- 📊Results - Compare experiment outcomes
- 📈Metrics - Track experiment performance