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fix(blog-announce): modern spelling
Signed-off-by: Alex C-G <alexcg@outlook.com>
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blog/01-announcement.md

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@@ -128,7 +128,7 @@ We believe that this makes sense for the following reasons:
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But there is a flip side to this: What does DocArray offer that differentiates it from pydantic?
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- ML focussed types: `Tensor`, `TorchTensor`, `TFTensor`, `Embedding`, ...
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- ML focused types: `Tensor`, `TorchTensor`, `TFTensor`, `Embedding`, ...
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- Types that are alive: `ImageUrl` can `.load()` a URL to image tensor, `TextUrl` can load and tokenize text documents, etc.
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- Pre-built Documents for different data modalities: `Image`, `Text`, `3DMesh`, `Video`, `Audio`, ... Note that all of these will be valid pydantic models!
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- The concepts of DocumentArray and DocumentStore

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