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Desafío de entrenamiento de datos en IA

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Desafío de entrenamiento de datos en IA

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About this activity

¿Verdadero o falso? Pon a prueba tus conocimientos sobre entrenamiento de IA.

Created by

DORA MARCELA
DORA MARCELA
Colombia

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Desafío de entrenamiento de datos en IA
 

Desafío de entrenamiento de datos en IAOnline version

¿Verdadero o falso? Pon a prueba tus conocimientos sobre entrenamiento de IA.

by DORA MARCELA
1

La actualización de la IA no es necesaria si los datos no cambian.

2

La IA aprende patrones a partir de grandes volúmenes de datos.

3

Una IA bien entrenada puede aplicar lo aprendido a datos nuevos.

4

Una IA puede aprender sin necesidad de datos.

5

La IA necesita actualizarse periódicamente para mantenerse relevante.

6

El ajuste fino se realiza antes del preentrenamiento en los modelos de IA.

7

El preentrenamiento y el ajuste fino son etapas importantes en modelos como los LLM.

8

Los datos sesgados no afectan los resultados de la IA.

9

La IA funciona únicamente con reglas preprogramadas sin aprender de los datos.

10

La calidad de los datos afecta directamente los resultados de la IA.

 
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