Tokenization

Tokenization refers to the process of converting a sequence of text into individual pieces, known as token. These tokens can represent words, characters, or subwords, and serve as the basic units for understanding and processing text in Natural Language Processing (NLP) tasks. Tokenization helps AI models to better understand, analyze, and generate human language by breaking down complex sentences into simpler, manageable components.