EDUCATION & TRAINING
Evaluation Metrics Every AI Engineer Should Understand
Dev.to Machine Learning
About This Tutorial
Evaluation Metrics Every AI Engineer Should Understand Your evaluation dashboard says your model is 95% accurate. Leadership is happy. The deployment goes live. Two weeks later, users complain that critical failures are still slipping through. The problem is not always the model. Sometimes the problem is the metric. As AI systems move from research prototypes into production infrastructure, evaluation becomes one of the most important engineering problems.