Two teams are tasked with creating a language model for a mobile application that translates spoken phrases in real-time on a standard smartphone. The primary constraint is that the model must be small and fast enough to run directly on the device without a constant internet connection.

• Team A decides to build a model with a very large vocabulary and a deep, multi-layered architecture. Their goal is to create the most powerful and accurate model possible, capable of understanding a vast range of linguistic nuances.
• Team B opts for a model with a smaller, more focused vocabulary and a shallower, less complex architecture. Their goal is to prioritize computational efficiency and a small memory footprint.

Which team's design philosophy is better suited for the project's requirements? Justify your evaluation by analyzing the trade-offs each team is making.