Understanding Large Language Models Series

Understanding Tokens in Large Language Models

by Nat Currier 5 min read
AILarge Language ModelsMachine Learning
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Understanding Large Language Models

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Understanding Tokens in Large Language Models
Excerpt

A detailed guide on what tokens are, how they work in LLMs, and why they matter for anyone using AI language models.

Cite This

Nat Currier. "Understanding Tokens in Large Language Models." nat.io, 2025-01-18. https://nat.io/blog/understanding-tokens-llms

Tokens are text units used by LLMs like GPT-4 for language processing. They can be words, subwords, punctuation, or whitespace, enabling efficient training, rare word handling, and language-agnostic processing.

https://nat.io/blog/understanding-tokens-llms

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Key stat: 5 minute read

SERIES

Understanding Large Language Models

Part 2 of 42
Previous A Beginner's Guide to Understanding LLMs
Next Beyond Next-Word Prediction: How Modern LLMs Really Work

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