Token

A token is a unit of data processed by an artificial intelligence model during input or generation tasks. In language models, tokens often represent fragments of words, words, or symbols, while in image systems tokens may represent encoded visual information.

AI systems process tokens to interpret instructions, analyze content, and generate outputs. The number and structure of tokens influence how much information a model can handle at one time.

In generative AI workflows, tokens are important because they affect performance, context handling, and output generation. Different models may use different tokenization methods depending on the type of data being processed.

Tokens are important because they are part of the underlying structure through which AI systems interpret and generate information. Understanding tokens helps explain how prompts, images, and generated outputs are processed computationally.

In the context of visual commerce, tokens connect indirectly to AI creative automation, AI product photography, and generative image workflows because AI systems process visual and textual inputs through structured representations.