Nomic Embed Vision: Expanding the Latent Space
<|reference_start|>Nomic Embed Vision: Expanding the Latent Space: 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.<|reference_end|>
@article{nussbaum2024nomic,
    title={Nomic Embed Vision: Expanding the Latent Space},
    author={Zach Nussbaum, Brandon Duderstadt, Andriy Mulyar},
    journal={arXiv preprint arXiv:2406.18587},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.18587},
    primaryClass={cs.CV cs.AI}
}