Tag: ai model testing and validation

This article explores a practical, step-by-step path to AI model development—from problem definition and high-quality training data to algorithm selection, architecture design, evaluation, deployment, and monitoring—so teams ship reliable, ethical, business-aligned models fast. With metrics and KPIs