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Proofread remarks
I think these may the last remarks for the nightly docs. Only two minor things actually.
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@ -115,7 +115,7 @@ print(french_fries, "<->", burgers, french_fries.similarity(burgers))
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Computing similarity scores can be helpful in many situations, but it's also
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important to maintain **realistic expectations** about what information it can
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provide. Words can be related to each over in many ways, so a single
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provide. Words can be related to each other in many ways, so a single
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"similarity" score will always be a **mix of different signals**, and vectors
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trained on different data can produce very different results that may not be
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useful for your purpose. Here are some important considerations to keep in mind:
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@ -257,7 +257,7 @@ output_path.open("w", encoding="utf-8").write(svg)
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Since each visualization is generated as a separate SVG, exporting `.svg` files
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only works if you're rendering **one single doc** at a time. (This makes sense –
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after all, each visualization should be a standalone graphic.) So instead of
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rendering all `Doc`s at one, loop over them and export them separately.
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rendering all `Doc`s at once, loop over them and export them separately.
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</Infobox>
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