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Exploring the Future of Multimodal Data Research
This chapter explores the potential of simultaneous training across diverse data types, such as language and images, emphasizing the impact of models like CLIP. It discusses the advantages of co-training different modalities to enhance the robustness of machine learning models and concludes with optimism about future advancements in the field.