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Update README.md

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@@ -12,16 +12,29 @@ Simple demo of semantic-autocomplete searching through the paragraphs of a page.
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  Here are some question examples you can try out:
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  What are Embeddings?
 
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  Where are Embeddings Used?
 
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  Why are Embeddings Used?
 
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  How do Embeddings Work?
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- Challenges and Considerations
 
 
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  How do Contextual Embeddings Differ from Traditional Word Embeddings?
 
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  Can Embeddings Capture Syntax and Grammar?
 
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  What Role Do Embeddings Play in Transfer Learning?
 
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  How are Embeddings Evaluated?
 
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  What Advances are Being Made in Embeddings for Non-English Languages?
 
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  What Future Directions Might Embeddings Take?
 
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  What are Graph Embeddings and Their Applications?
 
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  How are Embeddings Adapted for Time-series Data?
 
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  What Challenges Exist in Scaling Embedding Models?
 
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  Here are some question examples you can try out:
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  What are Embeddings?
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+
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  Where are Embeddings Used?
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+
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  Why are Embeddings Used?
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+
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  How do Embeddings Work?
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+
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+ What are some Challenges and Considerations?
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+
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  How do Contextual Embeddings Differ from Traditional Word Embeddings?
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+
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  Can Embeddings Capture Syntax and Grammar?
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+
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  What Role Do Embeddings Play in Transfer Learning?
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+
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  How are Embeddings Evaluated?
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+
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  What Advances are Being Made in Embeddings for Non-English Languages?
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+
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  What Future Directions Might Embeddings Take?
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+
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  What are Graph Embeddings and Their Applications?
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+
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  How are Embeddings Adapted for Time-series Data?
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+
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  What Challenges Exist in Scaling Embedding Models?