Byte Pair Encoding Tokenization

3-Second Blueprint (English)

1. Byte Pair Encoding normalizes and pre-tokenizes a training corpus into word counts before splitting words into base characters or bytes.
2. Training iteratively counts adjacent token pairs, merges the most frequent pair into a new subword token, and records each merge rule.
3. During inference, unseen words split into characters and apply learned merge rules in order to form compact roots and affixes.