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ZOA develops large-scale, general forecasting models that automate the iterative build-test-improve cycle using LLMs embedded in optimization loops. These models leverage cross-contextual data to create sample-efficient predictions superior to traditional domain-specific quantitative models. The core value is providing generalized forecasting capabilities that enhance experimental selection and decision-making.
Updated 2 months ago
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- ZOA develops large-scale, general forecasting models that automate the iterative build-test-improve cycle using LLMs embedded in optimization loops. These models leverage cross-contextual data to create sample-efficient predictions superior to traditional domain-specific quantitative models. The core value is providing generalized forecasting capabilities that enhance experimental selection and decision-making.