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ML Auto-Finetuning System - Complete Workflow

START

Initialize System

Load Models (MLflow)

Prod (champion)+ 2 Challengers

Background Streaming


(10-second batches)

100 samples

Generate New Data + Scale

Calculate Metrics


Accuracy, Drift, Latency

Store Historical


Print Summary

Batch


>= 10?

Calculate Success Rate


(last 10 batches)

INCUBATION WORKFLOW
Optuna Training


Bayesian Optimization

Register Incubation


Model in MLflow

OBSERVATION MODE


5-Batch Evaluation

Evaluate Batch


(count: X/5)

Observed


5 batches?

Success


>= 60%?

Continue Observing
PROMOTE to Challenger
Update Model Registry
SUCCESS!
Continue Next Batch
Retry Count


< 3?

Retry Training


(new params)

ALERT:


Max Retries Reached

Parallel Inference

Simultaneous

Prod Model

(Champion)

All Challengers

test

by veera

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