User and operator preference reconciliation for pre-prompt engineering

A system for language generation, the system comprising:

• a user device comprising:
• a first processor;
• and
• at least one first memory storing a plurality of user preferences for natural-language outputs generated by a machine-learning language model based on user-provided natural-language text inputs, the plurality of user preferences determined by a user of the user device, wherein the at least one first memory is encoded with first instructions that, when executed cause the first processor to:
• provide the natural-language text string as a natural-language text prompt to a chat application operating on the user device, and
• receive a natural-language text prompt;
• and
• a remote device communicatively connected to the user device, the remote device comprising:
• a second processor;
• and
• at least one second memory encoded with second instructions that, when executed, cause the second processor to:
• receive the natural language text prompt from the user device;
• receive the plurality of user preferences from the user device;
• receive a plurality of operator preferences for the natural-language outputs, the plurality of operator preferences determined by an operator of the server;
• generate a set of reconciled preferences by according to a rules engine, the set of reconciled preferences including fewer than all of the plurality of operator preferences and the plurality of user preferences;
• modify a system prompt for the machine-learning language model based on the set of reconciled preferences to generate a modified system prompt;
• provide the modified system prompt as an initial input to the machine-learning language model;
• provide, after modifying the system prompt, the natural-language text prompt as a subsequent input to the machine-learning language model to generate a natural-language text output;
• and
• transmit the natural-language text output to the user device.