Subword tokenization is a technique in natural language processing that breaks down words into smaller units, allowing for better handling of rare words and out-of-vocabulary terms by leveraging shared subword units. This approach enhances the model's ability to understand and generate text by capturing meaningful patterns at a finer granularity than whole-word tokenization.