SEMA modular workflow system automates model improvements

SEMA is a modular workflow system designed to connect research discovery, model development, and live evaluation through a shared experiment journal. The system features six modules that handle tasks such as crawling research papers, coordinating strategies based on model weaknesses, and running offline and online evaluations. By recording outcomes and prediction errors, SEMA helps engineers refine future candidate selection and automate the model-improvement loop. Open article →