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Language Model Architecture

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Researchers develop method to convert existing LLMs to byte-level processing

A research team has proposed a technique for retrofitting pretrained subword-based language models so they operate directly on raw UTF-8 bytes rather than tokenized text. The approach builds on existing subword-trained models instead of training byte-level models from scratch, addressing a gap between prior academic claims and the lack of real-world adoption of byte-level LLMs.