REINFORCEMENT LEARNING BASED OPTIMIZATION OF TEXTUAL ARTIFACTS USING GENERATIVE ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20250077976A1

    公开(公告)日:2025-03-06

    申请号:US18820097

    申请日:2024-08-29

    Applicant: Maplebear Inc.

    Abstract: A system generates text artifacts using a machine learned language model. The text artifacts may be provided to a search engine for providing to users along with search results. The system iteratively improves the set of text artifacts by performing the following steps. The system updates the prompt used to generate the text artifacts based on the performance of the text artifacts to obtain a new prompt. The system executes the machine learned language model using the new prompt to generate a new set of text artifacts. The system evaluates the new set of text artifacts to determine performance of each of the new set of text artifacts. These steps are repeatedly performed to improve the set of text artifacts.

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