June 2026
Intermediate
408 pages
11h 10m
Spanish
book
Modelos de lenguaje visual (Spanish Edition)
by Merve Noyan, Andrés Marafioti, Miquel Farré, Orr Zohar
Content preview from Modelos de lenguaje visual (Spanish Edition)
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Capítulo 7. Implementación de modelos para la inferencia a gran escala
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Ya entrenaste tu modelo de lenguaje visual (VLM) y ahora quieres que la gente lo use de verdad. Aquí es donde entra en juego la implementación de la inferencia, y es donde muchos de nosotros descubrimos que «el modelo funciona en mi configuración» está muy lejos de «el modelo atiende a 1,000 usuarios de manera confiable».
La implementación supone dos retos que van de la mano. En primer lugar, está el reto de la optimización: ¿cómo haces que la inferencia sea lo suficientemente rápida y económica como para que resulte práctica? En segundo lugar, está el empaquetado y la implementación de tu modelo donde sea necesario ejecutarlo, ya sea en un clúster en la nube, un navegador, un dispositivo del perímetro o un hardware específico.
En este capítulo, abordamos varios problemas: la optimización de la inferencia, los marcos de servicio como vLLM y cómo hacer que los modelos sean portables entre entornos de ejecución y cómo implementarlos. Algunas de las bibliotecas que mencionamos aquí son como navajas suizas: exportan un modelo a su propio formato, lo cuantifican y se encargan del servicio.
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