AWS Certified AI Practitioner
Traditional ML vs Foundation Models
How to choose between a task-specific traditional ML model and a large general-purpose foundation model, driven by explainability, regulation, cost, and operational constraints, not just capability.
Intermediate 17 minutes 4 Learning Objectives
- Contrast traditional ML models and foundation models on scope, data needs, and how they are built
- Choose between them based on explainability and regulatory requirements
- Weigh operational constraints such as cost, latency, and control in the decision
- Reject the assumption that the newer, more powerful foundation model is always the better choice