What if you could tune multimodal retrieval at serve time—trading accuracy, latency, and index size—simply by choosing how many learnable Meta Tokens (e.g., 1→16 for queries, 1→64 for candidates) to use? Meta Superintelligence Labs introduces MetaEmbed, a late-interaction recipe for multimodal retrieval that exposes a single control surface at serving time: how many compact “Meta […]
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