Term
Token (ˈtəʊ-kən)
Definition
A token is a small piece of text, like a word or punctuation mark, that AI models use to read, understand, or create text.
Where you’ll find it
In AI tools that focus on language, tokens play a crucial role in the interface where text data is processed. They appear in functionalities related to natural language processing (NLP) across various AI platforms.
Common use cases
- Breaking down large texts into manageable pieces for analysis
- Helping translate languages by converting text into numbers that computers can understand
- Generating text, like emails or stories, by predicting what token comes next
Things to watch out for
- Tokens may vary in size; not every token is a single word.
- Misidentifying tokens can lead to errors in text interpretation.
- Oversimplification of tokens may lose nuanced meaning in the text.
Related terms
- Natural Language Processing (NLP)
- Text Analysis
- Machine Learning
- Sentiment Analysis
- Text Generation
Pixelhaze Tip: To improve AI understanding when using tools for tasks like sentiment analysis or translation, ensure the text is clearly punctuated as this helps the AI correctly identify and use tokens.