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1 result(s) for “okapi bm25 site hotshops pp site dlmultimedia era in site:dylancastillo.co” · 325 ms

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A real deployment would use an approximate index, apply its own compression, rescore with full-precision vectors, and often mix in BM25 and a reranker
from the top result below

Honey, I shrunk the embeddings: Matryoshka vs. PCA – Dylan Castillo

https://dylancastillo.co/posts/matryoshka-vs-pca
AI labs responded with a technique called Matryoshka Representation Learning (MRL), which lets you use fewer embedding dimensions without sacrificing much accuracy in your retrieval