Nomic Embed Vision: Expanding the Latent Space

Nussbaum, Zach, Duderstadt, Brandon, Mulyar, Andriy

arXiv.org Artificial Intelligence 

This technical report describes the training of nomic-embed-vision, a highly performant, open-code, open-weights image embedding model that shares the same latent space as nomic-embed-text. Together, nomic-embed-vision and nomic-embed-text form the first unified latent space to achieve high performance across vision, language, and multimodal tasks.

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