Definition
In the context of large language models, tokens are the fundamental units of text (e.g., words, parts of words, punctuation) that the model processes. Models have specific limits on the number of tokens they can handle in a single input or output session.
Why it matters (in Poovi’s context)
Tokens are directly correlated with the computational cost and speed of large language models. Efficient management and reduction of token usage are crucial for economical and scalable AI applications.
Key properties or components
- Cost-associated
- Input/output limits
- Variable length based on text complexity
Contradictions or debates
None.