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 Note: This post had a good run, but it is now very out of date.
 Check out newer content around tokenizers 
 for a more up-to-date view.
 
 Machine learning on human languages is a super exciting space right now.
Applications are exploding—just think of how many natural language ML models
it takes to run a smart assistant, from transforming spoken audio to…
Read on /posts/2019/how-are-words-represented-in-machine-learning/ ↗
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