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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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La producción científica en la era de los grandes modelos lingüísticos
Keigo Kusumegi1, Xinyu Yang1, Paul Ginsparg1
1Department of Information Science, Cornell University, Ithaca, NY, USA.
Resumen
A medida que la producción evoluciona, las políticas científicas deben adaptarse. Las instituciones necesitan evolucionar junto con el panorama científico y tecnológico que cambia rápidamente para seguir siendo efectivas.
Área de la Ciencia:
- Política de las ciencias
- Evolución de las instituciones
- Procesos de producción
Sus antecedentes:
- La rápida evolución de los procesos de producción plantea nuevos retos.
- Los marcos institucionales existentes pueden no estar equipados para los avances científicos actuales.
Objetivo del estudio:
- Analizar el impacto de la evolución de los procesos de producción en las estructuras institucionales.
- Proponer estrategias adaptativas para las políticas e instituciones científicas.
Principales métodos:
- Revisión de la literatura sobre la política científica y la teoría institucional.
- Análisis de estudios de caso en campos científicos en rápido avance.
- Análisis comparativo de las respuestas institucionales al cambio tecnológico.
Principales resultados:
- Se ha observado un retraso significativo entre la evolución del proceso de producción y la adaptación institucional.
- Se han identificado factores clave que obstaculizan la flexibilidad institucional.
- Estrategias adaptativas exitosas documentadas en ámbitos científicos específicos.
Conclusiones:
- La política científica proactiva es crucial para guiar la evolución institucional.
- Las instituciones deben fomentar la agilidad y la previsión para mantenerse al día con los avances de la producción.
- El estudio subraya la necesidad de modelos de gobernanza dinámicos en la ciencia.
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