TL;DR We introduce Matryoshka Representation Learning (MRL), facilitating flexible embedding sizes in vector databases. This allows a balance between efficiency and granularity. Through MRL, embeddings condense into smaller dimensions while preserving performance in retrieval and ranking tasks. In summary, MRL empowers cost-effective flexibility without compromising performance in multimodal retrieval and ranking tasks.
Earth Day doesn’t get the same attention as Valentine’s Day, or even Memorial Day for that matter. There are no parades or decorations, but there’s still plenty that can be done to celebrate the holiday.
Cloud-native application protection platforms (CNAPPs) sidestep siloed security and embed security into the earliest stages of application development.