- Hyperparameter tuning: Multimodal models often require more extensive hyperparameter tuning to optimize performance. This can involve more iterations of training, testing, and evaluation, which can increase computational costs.
- Model evaluation: Multimodal models often require more extensive evaluation and testing to ensure performance and accuracy. This can involve more data collection, annotation, and processing, which can increase costs.
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