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Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance
Este repositorio contiene el código, datos y recursos utilizados en el estudio "Machine Learning en la Apicultura: Clasificación Avanzada del Estado de Colmenas con Pipeline Optimizado y Etiquetado Preciso" por Axel A. Skrauba, Hector De Sosa, y Sandro D. Zakowicz.