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Update README.md

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@@ -33,4 +33,5 @@ print(embeddings.dot(embeddings.T).round(2))
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  # [0.18 0.32 1. ]]
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  ```
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- For semantically equivalent sentence pairs, the dot products of these scores (which are also their cosine similarities) are usually above 0.4.
 
 
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  # [0.18 0.32 1. ]]
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  ```
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+ For semantically equivalent sentence pairs, the dot products of these embeddings
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+ (which are also their cosine similarities, because the vectors are L2-normed) are usually above 0.4.