A tech company is leveraging generative AI to develop personalized customer experiences and is considering whether to use a pre-built Foundation Model (FM) or to customize a model tailored to their specific needs. The team needs to understand the key differences between using a Foundation Model as-is versus customizing a model with their own data to enhance performance for specific tasks. This distinction will guide their strategy for deploying the most effective AI solution. What do you suggest?