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Fundamentos de IA

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Fundamentos de IA

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Conceptos clave de IA

Created by

ELMIS DIAZ SANTANA
ELMIS DIAZ SANTANA
Dominican Republic

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Fundamentos de IA
 

Fundamentos de IAOnline version

Conceptos clave de IA

by ELMIS DIAZ SANTANA
1

¿Qué es IA?

2

¿Qué es aprendizaje automático?

3

¿Qué es aprendizaje supervisado?

4

¿Qué es aprendizaje no supervisado?

5

¿Qué es un sesgo algorítmico?

6

¿Qué es un modelo de lenguaje?

7

¿Qué es la visión por computador?

8

¿Qué es el razonamiento lógico en IA?

9

¿Qué es la ética en IA?

10

¿Qué es la IA débil vs IA fuerte?

Explicación

La IA busca generar aprendizaje y mejora, no solo seguir reglas predefinidas.

Se fundamenta en algoritmos que aprenden de ejemplos.

Se entrena con datos etiquetados para predecir salidas.

Encuentra estructura en datos sin respuestas dadas.

Puede surgir por datos parciales o supuestos del modelo.

Ejemplos: GPT, BERT; se entrenan con textos.

Permite reconocer objetos, caras, escenas, etc.

Incorpora reglas para inferir nuevas informaciones.

Incluye sesgo, privacidad, seguridad y transparencia.

La IA débil se enfoca en tareas específicas; la fuerte tendría comprensión general.

 
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