AUTOMATED MACHINE-LEARNED LANGUAGE MODEL PROMPT RECOMMENDATIONS

Abstract: an online system may receive a registration of an application for a language model gateway configured as an intermediary between users and a first machine-learned language model. the online system may monitor a conversation associated with the application using the language model gateway. the conversation is between a user of the application and the first machine-learned language model and includes a prompt from the user directed toward the first machine-learned language model. the online system may extract the prompt and compile an input for a second machine-learned language model that is fine-tuned to improve prompts. the input may be the prompt and one or more criteria to improve the prompt. the online system may provide the input to the second machine-learned language model. the online system may determine a suggested improvement to the prompt using the second machine-learned language model and provide the suggested improvement to the user.

Inventor(s): Ryan Dearing, Jacob Jensen, Michael Parrott

CPC Classification: G06N20/00 (Machine learning)

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