-
MLflow Autologging and Zero-Config Tracking
A practical guide to MLflow autologging: one-line experiment tracking, framework-specific integrations, GridSearchCV child runs, and production guardrails.
6 min read -
Reproducible Experiment Tracking with MLflow and UV
How to make MLflow experiment tracking reproducible by pairing runs, metrics, model artefacts, signatures, and registry versions with a UV lockfile.
7 min read -
GenAI Evaluation with mlflow.genai.evaluate(): Beyond Accuracy
How to evaluate RAG and agentic GenAI systems with MLflow 3.x, mlflow.genai.evaluate(), LLM-as-a-judge scorers, custom trace-aware metrics, and prompt A/B tests.
10 min read -
Productionising Generative AI with MLflow 3.x: Tracing, Evaluation, and Prompt Optimisation
How MLflow 3.x helps productionise GenAI systems with OpenTelemetry-compatible traces, trace-aware evaluation, RAG judges, custom scorers, and prompt registry workflows.
12 min read