4 ms·

Can someone suggest a few practical use cases of this for normal plebs like me?

• zone411 8y ago
  In NLP, tokenization is one of the first steps in the pipeline to break down text into individual words. I don't know about others but for the project I'm doing, the tokenization speed doesn't matter much in the big picture because the following steps take much longer.
  • atoav 8y ago
    It matters for anything that should be more or less realtime, so where fast feedback is needed.
• pts_ 8y ago
  If you're talking about Natural Language Processing, think voice operated - everything.