Why is multimodal more expensive to train than text?
Multimodal AI models, which process and learn from multiple types of data or modalities, can be more expensive to train than text-only models for several reasons:
- Data size and complexity: Multimodal data can be much larger and more complex than text data. For example, images and videos require more storage space and computational resources than text data. This can lead to increased costs for data storage, processing, and transmission.