#nlp

机器辅助翻译草稿 (Chinese) for "Tokenization": The process of converting raw text into discrete units called tokens that a language model can process. Tokens are typically subword units — common words become single tokens while rare words split into multiple tokens. All LLM pricing and context limits are measured in tokens, not characters or words.

“示例草稿: The word "unbelievable" tokenized into three pieces: "un", "believ", "able".”