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Revista Bits de Ciencia, Núm. 25 (2023)

Inteligencia Artificial Generativa
Authors: Revista Bits De Ciencia;

Revista Bits de Ciencia, Núm. 25 (2023)

Abstract

¿Los actuales LLMs (Large Language Models) como ChatGPT o Google Bard son el resultado de un mero golpe de suerte, o el fruto de múltiples desarrollos sucesivos?, ¿qué principios son relevantes para abordar los problemas éticos asociados a esta tecnología?, ¿cómo puede integrarse con otras herramientas para resolver problemas de manera más efectiva?, y en el contexto particular de la educación, ¿la presencia de esta tecnología realmente significa un deterioro en los procesos de aprendizajes, como muchos vaticinan? Para abordar estas interrogantes, hemos invitado a especialistas de diferentes ámbitos, incluyendo la academia, la industria y el sector público, quienes comparten sus opiniones y perspectivas en el Tema Central de la Revista.

Estudiantes DCC El Doctorado en Computación de la Universidad de Chile Niñas Pro descifró el código : GPT y agentes : ¿Cómo navegar el camino hacia la ética en IA? Inteligencia artificial, ciudadanía digital y pedagogía Un recorrido por los modelos de lenguaje : Desde Shannon a GPT-4 Robert Metcalfe, coinventor de Ethernet, el estándar para redes de área local Mejorando la adopción de la privacidad diferencial en lenguajes de programación Editorial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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