Web Reference: Byte-Pair Encoding (BPE) was initially developed as an algorithm to compress texts, and then used by OpenAI for tokenization when pretraining the GPT model. It’s used by a lot of Transformer models, including GPT, GPT-2, RoBERTa, BART, and DeBERTa. Aug 27, 2025 · Byte-Pair Encoding (BPE) is a text tokenization technique in Natural Language Processing. It breaks down words into smaller, meaningful pieces called subwords. It works by repeatedly finding the most common pairs of characters in the text and combining them into a new subword until the vocabulary reaches a desired size. The modified tokenization algorithm initially treats the set of unique characters as 1-character-long n-grams (the initial tokens). Then, successively, the most frequent pair of adjacent tokens is merged into a new, longer n-gram and all instances of the pair are replaced by this new token.
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