COMBINATORIAL PROMPTING FOR LARGE LANGUAGE MODELS
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United States of America Patent
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Issued Date -
Mar 27, 2025
app pub date -
Sep 25, 2023
filing date -
Sep 25, 2023
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Abstract
An embodiment for generating and employing incrementally optimized combinatorial prompts for tuning a target model. The embodiment may select a predetermined number of examples from a training dataset. The embodiment may concatenate each of the selected examples with a current prompt of a target model to obtain a set of candidate prompts. The embodiment may, for each individual candidate prompt in the set of candidate prompts, calculate a loss value over a validation dataset. The embodiment may replace the current prompt with the individual candidate prompt having a lowest calculated loss value that is less than or equal to an original loss value over the validation set for the current prompt to obtain an updated prompt.
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