In bedings are a concept that basically just means take data for one high dimensional space and encode it as a vector in a lower dimensional space. It's not even a deep learning concept, but predates it by a long time. What people focused on in that era was building these really large-scale vector databases intended to work at very large scale. At that time, AI just wasn't in the picture.

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