In this comprehensive video, AWS generative AI expert Emily Webber guides viewers through the process of selecting the right foundation model for their specific use case. She covers key considerations such as model size, accuracy, modalities (language vs. vision), and the impact on downstream tasks. Webber explains the trade-offs between larger and smaller models, discussing factors like cost, inference time, and deployment options. The video also includes a hands-on demonstration of evaluating foundation models using AWS SageMaker, showcasing how to run benchmarks and assess model performance. Viewers will gain valuable insights into the criteria for choosing foundation models and learn practical techniques for model evaluation in real-world scenarios.