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IA: Conceptos Clave

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Conceptos básicos de IA

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Colombia

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IA: Conceptos Clave
 

IA: Conceptos ClaveOnline version

Conceptos básicos de IA

by Andrew Peña
1

El aprendizaje supervisado utiliza ejemplos etiquetados para entrenar modelos.

2

Las redes neuronales siempre explican sus decisiones de forma intuitiva.

3

El aprendizaje por refuerzo no implica interacción con un entorno.

4

La inteligencia artificial busca emular la capacidad de aprendizaje humano mediante algoritmos.

5

Las redes neuronales profundas requieren grandes cantidades de datos para entrenarse.

6

Un modelo de lenguaje estadístico genera respuestas probabilistas basadas en patrones aprendidos.

7

El razonamiento simbólico es una aproximación clásica de IA que manipula símbolos.

8

La IA solo puede funcionar con datos estructurados y no admite datos no estructurados.

9

El sesgo en IA no afecta el rendimiento de los modelos.

10

Un modelo generativo siempre da respuestas exactas y deterministas.

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