Semantic Search: A Deep Dive Into Vector Databases (with Zain Hasan)
Developer Voices
Unifying Vector Spaces in Multi-Modal Neural Networks
In the field of multi-modal neural network modeling, there are practical developments such as models like clip and image bind which understand images, text, audio, and video. The challenge lies in unifying different vector languages used by specialized models within these multi-modal models. To address this, the image bind model uses contrastive learning to unify vector spaces and ensure that representations of various modalities are aligned in an approximate vector space.
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