Thoughts on NLP, life, and everything in between.
Tokenization isn't a fixed single-process step — in a lot of tokenizers, a plain regex runs before the tokens and quietly shapes how well a model handles your input. Understanding how this works can get real quality gains at inference time without training anything.
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