WordPiece is a subword tokenization algorithm used in natural language processing to efficiently handle rare words and improve the performance of language models by breaking down words into smaller, more manageable pieces. It balances the trade-off between vocabulary size and the ability to represent out-of-vocabulary words by using a data-driven approach to determine the most frequent subword units.