Discrete language tokens are the fundamental building blocks—words, subwords, or characters—that large language models process individually. By splitting text into these fixed units, AI systems can efficiently analyze syntax and generate coherent responses. Developers, data scientists, and NLP engineers benefit most, as tokens enable precise model training, reduce computational costs, and improve translation or chatbot accuracy.
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