Choosing the Right AI Model for Experimentation

Selecting the appropriate model is crucial in the experimentation phase of AI projects. It is generally recommended to start with the largest and most capable model, unless specific constraints, such as edge inference requirements, dictate otherwise. By utilizing a powerful model from the outset, several uncertainties are eliminated, allowing for a more focused exploration of product capabilities and workflows. Once foundational aspects are established, it becomes feasible to explore alternatives and evaluate other models based on well-defined criteria.