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Large Language Models (LLMs) › Tokenization in LLMs

How does Tokenization in LLMs work

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Answer

The model converts text into tokens using a fixed vocabulary, then turns each token into a number that can be processed mathematically by the neural network.
Real-world example A single English word like unbelievable might be split into several tokens by an LLM's tokenizer.

Common follow-ups: What is Large Language Models (LLMs), How is Tokenization in LLMs evaluated in practice, What tools are commonly used for Tokenization in LLMs

Large Language Models (LLMs) topics: What Are Large Language Models LLM Architecture Overview Tokenization in LLMs
All 7 Tokenization in LLMs questions