Aprende con el Curso Gratuito que Ofrece la UAdeC en “Uso de Chat GPT y Hugging Face en la Cuantificación del Sesgo de Modelos Matemáticos”

This course explores the use of large language models to quantify bias in mathematical models and to generate synthetic data that reflects demographic realities. It emphasizes the critical need for transparent, auditable data-generation techniques in AI research to ensure fairness and accuracy in scientific simulations. By teaching participants how to measure discrepancies between empirical observations and virtual agent outputs, the initiative promotes rigorous validation methods for synthetic datasets. This approach enhances the reliability of AI-driven research, addressing essential quality controls that are often absent in open-data practices. The event underscores the importance of open-source tools in democratizing advanced analytical skills. It demonstrates how accessible platforms can empower researchers to improve data integrity, fostering a more equitable and reproducible scientific community through shared knowledge and standardized evaluation metrics.

Source: elheraldodesaltillo.mx
Published on 2025-07-10

Aprende con el Curso Gratuito que Ofrece la UAdeC en “Uso de Chat GPT y Hugging Face en la Cuantificación del Sesgo de Modelos Matemáticos”

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