A tokenizer breaks text into smaller units like words or subwords, enabling computers to process human language. Used in natural language processing, it prepares data for machine learning models, aiding tasks such as translation or analysis. Developers, data scientists, and AI researchers benefit by improving model accuracy and efficiency.
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