midMLOps
What is MLflow used for?
Updated May 17, 2026
Short answer
MLflow manages ML lifecycle including tracking, models, and deployment.
Deep explanation
It provides experiment tracking, model registry, and deployment capabilities.
Real-world example
Tracking multiple NLP models for chatbot improvement.
Common mistakes
- Using MLflow only for logging, ignoring registry.
Follow-up questions
- What are MLflow components?
- Is MLflow production ready?