An AI model will output any parameter from a prompt unless told not to. A developer must explicitly instruct the AI model to never output internal parameters.
By Pawan Nayar · from the LLOS AI Learning record
An AI model will output any parameter from a prompt unless told not to.
A developer must explicitly instruct the AI model to never output internal parameters.
A developer includes parameters in a prompt. These parameters help the AI model understand the task. The AI model does not know which parameters are for internal use only. The AI model might show these parameters in its final answer. A developer must add a clear instruction. This instruction tells the AI model to never output specific parameters.
A developer creates a prompt for an AI model. The prompt includes a parameter like `user_id: 12345`. This ID helps the AI model track user history. The developer does not add an instruction to hide `user_id`. The AI model then includes `user_id: 12345` in its response to the user. This exposes internal information.
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The AI model saw special formatting in the instructions. This formatting made the instructions look like important text.
An AI model often remembers the last things it reads best. This is called the recency effect.
The AI model needs to treat each instruction as a separate, important guide. If a user gives a phrase, the AI model should use that phrase directly.
The AI model's internal data structure needs to be reviewed. The data that defines a 'voice' or style should be separated.
An AI model will output any parameter from a prompt unless told not to. A developer must explicitly instruct the AI model to never output internal parameters.