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grep -l @msmarco passage corpus /news/*.json | wc -l → 1

MSMarco passage corpus

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2026-07-24
softwaredoug.com
machine-learning

PCA: an embedding shrink-ray

Principal Component Analysis (PCA) can reduce the dimensionality of embeddings, shrinking memory usage from 14GB for 9 million 384-dimension vectors to a fraction of that by collapsing redundant dimen…

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MiniLM model 1 Principal Component Analysis 1 NumPy 1
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machine learning 1 artificial intelligence 1