What is a Token?
Token
A Token is the fundamental unit of text sequence analyzed or generated by a natural language model (roughly equal to 3/4 of a word). Words are encoded into token IDs before passing into neural layers.
Why It Matters for AI Builders
Helps AI builders design and scale robust architectures; mastering the implementation of Token improves latency, accuracy, and operational efficiency for prompt sizing limits, vocabulary mapping, and cost metric usage billing.
Detailed Deep Dive
A token is the basic unit of text processed by a Large Language Model. A token can represent a single character, a subword fragment, or a whole word. For example, the word "artificial" might be split into multiple tokens. Models read and generate text token by token, directly impacting prompt limits and cost metrics.
Frequently Asked Questions
Q:What is a typical token-to-word conversion ratio?
About 100 tokens correspond to approximately 75 words in standard English text.
Q:Why not use characters as tokens directly?
Character tokenization leads to extremely long sequences for the model to process, increasing compute overhead, while word tokenization creates a vocabulary list too large to index efficiently.
Quick Facts
- CategoryNatural Language Processing
- Key ApplicationPrompt sizing limits, vocabulary mapping, and cost metric usage billing
Coverage Trend12 Weeks
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