CLIP represents a significant leap in combining text and image representations, moving beyond traditional single-label training methods. By utilizing contrastive learning to embed images and sentences in a shared space, richer and more meaningful representations can be achieved. This innovation highlights the necessity of exploring diverse modalities, such as 3D space, to enhance our understanding and applications of AI.
