| CPC G06F 8/33 (2013.01) [G06F 8/35 (2013.01); G06F 8/36 (2013.01); G06F 8/60 (2013.01)] | 18 Claims |
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1. A method, comprising:
creating an experiment with code blocks that operate on a common data model for a large language model solution, wherein the code blocks provide instructions for an output of a pretrained large language model for the large language model solution;
creating model input using the code blocks;
providing the model input to the pretrained large language model;
receiving model output from the pretrained large language model in response to running the model input;
comparing the model output to a production threshold for the large language model solution;
creating a next experiment with modified code blocks for the large language model solution in response to determining the production threshold is not achieved with the experiment;
continuing to provide different experiments with different code blocks for the large language model solution until the production threshold is achieved; and
deploying the large language model solution into a production environment in response to a production threshold being achieved with the different experiments.
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