May 2026
Intermediate
292 pages
9h 23m
Spanish
book
Planes de datos preparados para la IA (Spanish Edition)
by Navnit Shukla, Kien Pham, Srikanth Sopirala, Harsha Tadiparthi
Content preview from Planes de datos preparados para la IA (Spanish Edition)
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Capítulo 5. Basesde conocimiento y bases de datos vectoriales
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En el panorama empresarial actual, impulsado por la IA, la capacidad de basar las aplicaciones de IA generativa en un conocimiento organizacional preciso y actualizado se ha convertido en un imperativo competitivo. Este capítulo explora los fundamentos de la estrategia de datos que permiten a las organizaciones crear sistemas de IA generativa (GenAI) y de IA agentiva listos para la producción a través de tres pilares fundamentales: bases de conocimiento, generación aumentada por recuperación (RAG) y bases de datos vectoriales.
El desafío de los datos de GenAI
Los modelos de lenguaje grandes tradicionales de la IA generativa, aunque potentes, se enfrentan a limitaciones fundamentales cuando se realizan sus implementaciones en entornos empresariales. Funcionan con datos de entrenamiento estáticos, a menudo desactualizados desde hace meses, y carecen de acceso al conocimiento organizacional propio. Esto crea una brecha crítica entre las capacidades de la IA y las necesidades empresariales, una brecha que le cuesta a las organizaciones tanto precisión como ventaja competitiva.
Se estima que el o de datos no estructurados representa entre el 80 % y el 90 % de la información empresarial, y que los volúmenes de datos de las empresas crecen alrededor de un 55 %-65 % al año.1 Sin embargo, la mayoría de las organizaciones ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.