HomeArtificial IntelligenceMachine Learning Interactive System Designing Artificial IntelligenceBy RiyaSeptember 19, 20261 min read Machine Learning Interactive System Designing Build a machine learning system design Follow a model from raw data to training, into production, and back again. Tick what your system needs and the diagram adds the parts. Click any box to see what it does. Walk through the ML life cycle Back Next End walkthrough Click a box, or start the walkthrough to see each stage in order. Clear all Capabilities Human labelling Live event data Shared feature store Hyperparameter tuning Experiment tracking Batch predictions Safe rollouts (A/B and canary) Explain predictions Qualities Scalability (big data, many requests) Fault tolerance (keep predicting when parts fail) Reproducibility (rebuild any model) Automatic retraining on drift Low latency (fast predictions) Governance (approvals and audit) ShareCopied