Tokenization
User-Facing AI Concepts
The maximum number of text units (tokens) that can be processed by an AI model in a single interaction.
Detailed Explanation
Token Limit refers to the maximum number of text units, or tokens, that an AI model can handle during a single input or output. Tokens can be words, characters, or subword units. This constraint ensures efficient processing, influences the length of interactions, and helps prevent system overloads, guiding users to provide concise prompts within the model's capacity.
Use Cases
- •Ensuring prompts stay within token limits to avoid truncation and maintain effective, concise AI responses.
Related Terms
Other terms in the User-Facing AI Concepts category