challenge_1530_1780764642864

Tokenization in NLP is the process of breaking down a sequence of text into smaller units called tokens. These tokens can be words, subwords, or characters, depending on the specific tokenization strategy used. This is a fundamental first step before most NLP tasks, as models need numerical representations of text to process it effectively.