Remixing and blending tokens creates infinite generative options for creative prompting. Users can combing tokens from multiple sources and add additional tokens and parameters after their initial generation to coax the AI into providing exactly what they are looking for (or, alternatively, taking their thinking to entirely new places).
This leads to powerful capabilities, and a user doesn't need to know all that's happening below the scenes to take advantage of them.
- Image generators allow users to combine different images, or introduce tokens from an image as an input source to your open ended prompt
- Content editors allow users to direct the model to reproduce the original output with new parameters, like "shorter" or "more conversational"
- Document parsers summarize the information in a website, document, or attachment and allow users to "chat" with the text
- Chatbots store a history of information from a conversation that a user can retrieve or ask about even if the conversation has moved on
- Users can regenerate previous responses using the original prompts, or adding new information
Remixing prompts might be the most human element of Artificial Intelligence today. If you have ever found yourself humming a familiar tune with new lyrics, or finding connections between books that seem to have nothing to do with each other, you know the power of remixing.
From a product and experience perspective, remixing can help resolve dead ends. When someone isn't getting the results they want out of a prompt, giving them the ability to share a reference point, or add new information helps them feel like they are back in control.
Make these features clear and obvious. They let users play with the model. The more you play with something, the better you understand it.
