[Verse 1] Your model's deployed and running free But how do you know it's working properly Production data flows like a rushing stream Not the same as your training dreams Accuracy drops but you don't see Until customers start to flee Time to build your watching eyes Monitor before your system dies [Chorus] Watch the drift, catch the shift PSI and KS tests give you the lift Data changes, concepts too Gradual sudden recurring through Monitor predict observe detect Keep your model's performance in check Alerts and triggers automated flow That's how production systems grow [Verse 2] Prediction quality first in line Accuracy degradation is your warning sign Confidence calibration tells the tale When your model's certainty starts to fail Jensen-Shannon divergence shows the way How your distributions drift away Infrastructure metrics matter most Latency and throughput are your host [Chorus] Watch the drift, catch the shift PSI and KS tests give you the lift Data changes, concepts too Gradual sudden recurring through Monitor predict observe detect Keep your model's performance in check Alerts and triggers automated flow That's how production systems grow [Bridge] LLM specific needs attention Token usage and retention Hallucination detection saves your day Toxicity filters keep harm at bay OpenTelemetry tracks your calls LangSmith and Arize catch your falls WhyLabs and Evidently AI Help you see what's going awry [Verse 3] Four types of concept drift to know Gradual changes creep up slow Sudden shifts hit like a storm Recurring patterns break the norm Incremental steps along the way Each type needs a different play Dashboard setup lab awaits Where you'll configure all the gates [Final Chorus] Watch the drift, catch the shift PSI and KS tests give you the lift Data changes, concepts too Gradual sudden recurring through Monitor predict observe detect Keep your model's performance in check Alerts and triggers automated flow That's how production systems grow [Outro] GPU utilization, error rates too Throughput metrics coming through Automated retraining triggers fire When your model needs to respire Monitoring is your safety net The best insurance you can get
β Unit 5.2 β ML Pipelines & Orchestration | Unit 5.4 β Cost Optimization & Scaling β