Tokens are the fundamental units that LLMs process. Instead of working with raw text (characters or whole words), LLMs convert input text into a sequence of numeric IDs called tokens using a model-specific tokenizer. A single token typically represents a common word like (“hello”) a subword (“un” + “derstanding”) a punctuation mark or space and ...

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Link :
https://www.nextbigfuture.com/2025/11/tokens-and-tokenization-are-an-important-for-fundamental-llm-understanding.html