Model
Gemini Embedding
A multimodal embedding API model introduced by Google that uses a single backbone network to process all modalities. It applies contrastive training techniques to map multiple modalities into a unified vector space, enabling cross-modal retrieval and representation.
Timeline (last 90 days)
Oct 7
In the Gemini Embedding paper, Google quantified that embedding audio directly scored 73.99 on a sound retrieval benchmark, while first transcribing it to text and then embedding scored only 70.40.
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