Model Selection and Architecture Decisions

The choice of model architecture — whether to use a deep neural network, a gradient boosting tree, a large language model, or a rule-based system — is not just a technical performance decision. It's a governance decision that affects explainability requirements, regulatory compliance, fairness testing options, and auditability. Learn the architectural literacy to ask the right questions before model selection and understand the governance trade-offs embedded in technical choices.