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IA Generativa

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IA Generativa

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Quiz sobre IA Generativa

Created by

Fernando Cst
Fernando Cst
Mexico

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IA Generativa
 

IA GenerativaOnline version

Quiz sobre IA Generativa

by Fernando Cst
1

¿Qué define principalmente a la IA generativa?

2

¿Cuál es la diferencia fundamental entre modelos generativos y discriminativos?

3

¿Qué hacen las GANs según el video?

4

¿A qué se comparan los autocodificadores variacionales?

5

¿Para qué tipo de tareas están diseñados principalmente los modelos basados en transformadores?

6

¿Qué caracteriza a los modelos autorregresivos?

7

¿Qué pueden hacer las redes generativas antagónicas (GANs)?

8

¿Qué aprenden los modelos generativos respecto a los datos?

9

¿Qué tarea es típica de modelos basados en transformadores?

10

¿Qué describe mejor a un autocodificador variacional?

Explicación

La IA generativa crea contenido nuevo, no solo clasifica o procesa datos.

Los generativos modelan la distribución de los datos; los discriminativos - límites entre clases.

GANs generan datos nuevos y realistas, simulando creatividad.

VAE intentan reconstruir la información original a partir de una representación latente.

Transformers destacan en lenguaje natural y generación de texto.

Se apoyan en el contextos anteriores para producir la siguiente salida.

GANs aprenden a producir datos que parecen reales.

La clave de generativos es modelar la distribución de datos.

Transformers se destacan en NLPer y generación de texto.

VAEs crean reconstrucciones a partir de una representación comprimida.

 
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