Zelma, a new research assistant powered by OpenAI's GPT-4, aims to make U.S. education data more accessible to parents, teachers, and policymakers. Developed by economist Dr. Emily Oster and her team at Brown University, Zelma processes and visualizes standardized test performance data, which is often scattered and difficult to access. The tool utilizes function calling and fine-tuning to allow users to ask questions in plain language and receive tailored insights and data visualizations, with explanations of the underlying logic and context. AI
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RANK_REASON Zelma is a product release that leverages an existing frontier model (GPT-4) for a specific application, rather than a new frontier model or a paradigm-shifting capability.
