Why do tokens matter in AI?#
Tokenization allows the AI to break down complex text into manageable, mathematical units, which is the essential first step for analysing meaning, generating responses, and performing any language-based task.
How does AI break text into tokens?#
When you give an AI a sentence, it first uses a component called a "tokenizer" to split that text into a list of tokens. For example, the sentence "Analyze customer feedback" might be broken into three tokens: "Analyze", "customer", and "feedback". More complex words might be split into smaller, more common parts.
Each of these unique tokens corresponds to a number in the AI's vast vocabulary. By converting the text into a sequence of numbers, the model can use mathematical calculations to identify patterns, understand context, and ultimately generate a relevant response. The number of tokens processed is often directly related to the cost and speed of an AI operation.