Team ImPROMPTu at Policy2Code Demo Day at BenCon 2024
The team developed an application to simplify Medicaid and CHIP applications through LLM APIs while addressing limitations such as hallucinations and outdated information by implementing a selective input process for clean and current data.
This team’s goal was to enable policy subject matter experts (SMEs) to become the arbiters of correctness in a software system implementation.They used LLMs in a workflow where a policy described in a domain-specific language (DSL) drove implementation. They enabled policy SMEs to iteratively develop a DSL “program” that describes policy using a SMEpl grammar. The generated DSL should include features to ensure accuracy and completeness of the program description.
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