"How Text Becomes Numbers: Tokenization Explained"
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This article covers how raw text becomes something that an NLP model can actually compute with. Why Computers Cannot Understand Words? A neural network, at its core, is a system of matrix multiplications and other numerical operations. It has no native concept of a "word" — it only operates on numbers. Feed it the string "cat" directly and a neural network will not be able to multiply a matrix by the letters c-a-t. This means every NLP system, regardless of whether it is Rule-based, Statistical…
1Key Takeaways
- This article covers how raw text becomes something that an NLP model can actually compute with.
- Why Computers Cannot Understand Words?
- A neural network, at its core, is a system of matrix multiplications and other numerical operations.
- It has no native concept of a "word" — it only operates on numbers.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that this article covers how raw text becomes something that an NLP model can actually compute with.
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