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Researchers propose retrofitting language models to work on bytes

Original: Retrofitting language models to operate over bytes

A new paper published in Nature describes a method for adapting language models so they can operate directly over raw bytes rather than fixed token vocabularies. Byte-level operation would remove the tokenizer, letting models handle any language, code or noisy text without preprocessing. The discussion centres on the technical trade-offs, including added compute cost and how well retrofitted models preserve performance.

Why now: A new Nature paper challenges the standard tokenization pipeline in modern language models, sparking technical debate.

Naturelanguage modelstokenization

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