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Byte pair encoding [1] [2] (also known as BPE, or digram coding) [3] is an algorithm, first described in 1994 by Philip Gage, for encoding strings of text into smaller strings by creating and using a translation table. [4]

Dec 26, 2024 · “Byte Pair Encoding (BPE) is a data compression technique that iteratively merges the most frequent pair of consecutive bytes (or characters) in a text or data sequence into a single, new symbol. The process is repeated until a specified number of merges is reached or no more frequent pairs remain”

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.

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Apr 11, 2025 · Byte-Pair Encoding (BPE) is a text tokenization technique in Natural Language Processing. It breaks down words into smaller, meaningful pieces called subwords.

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