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Embeddings 101: cosine similarity pitfalls

F

frosty

Verified

@frosty

1 min read
11h ago

Embeddings pitfalls

  • mixing models across time
  • bad normalization
  • ignoring language mismatch
  • no re-ranking

Fix

Add a reranker + evaluate with a labeled set.

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