September 2024
Intermediate to advanced
448 pages
13h 5m
Spanish
Content preview from Aprendizaje profundo a escala
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Capítulo 13. Modelos de cimentación
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Cuanto más alto sea el edificio, más profundos deben ser los cimientos.
-Thomas à Kempis
Escalado extremo de los modelos de aprendizaje profundo en varias dimensiones (datos, computación, capacidad) ha conducido al desarrollo de modelos de propósito general capaces de realizar muchas tareas diferentes sin supervisión explícita. Estos modelos evolutivos suelen tener capacidades generativas y adaptativas y son tan eficaces en muchas tareas, desde la percepción y la cognición básicas hasta la comprensión de escenas o textos y el seguimiento de instrucciones, que cada vez ocupan un lugar más central en la IA aplicada.
En este capítulo, conocerás los fundamentos de los llamados modelos fundacionales y su evolución hasta la fecha. Leerás sobre los retos que plantea el desarrollo y la adaptación de estos modelos, explorarás cómo se están convirtiendo en multimodales y repasarás las arquitecturas pioneras LLaVA, Flamingo y BLIP-2.
¿Qué son los modelos de cimentación?
El término modelo de cimentación fue acuñado por el Centro de Investigación sobre Modelos de Cimentación del Instituto de Inteligencia Artificial Centrada en el Ser Humano de Stanford para describir modelos de aprendizaje profundo a gran escala que fueron entrenados en conjuntos de datos muy grandes y tienen la capacidad de rendir bien en muchas tareas sin haber ...
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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.