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GenAI vs ML tradicional

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GenAI vs ML tradicional

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Diferencias clave entre GenAI y ML tradicional

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Aprendizaje Organizacional
Aprendizaje Organizacional
Colombia

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GenAI vs ML tradicional
 

GenAI vs ML tradicionalOnline version

Diferencias clave entre GenAI y ML tradicional

by Aprendizaje Organizacional
1

GenAI, como los modelos grandes, genera contenido nuevo como texto, imágenes o código.

2

Clasificación y regresión son tareas de GenAI puro.

3

La ML tradicional podría usarse en una aspiradora que robot que limpia la casa

4

Los modelos GenAI no necesitan datos de entrenamiento.

5

GenAI siempre requiere entrenar desde cero para cada tarea.

6

En GenAI, la salida puede ser novedosa y no solo una etiqueta o valor, a diferencia de la predicción típica de ML tradicional.

7

Los modelos GenAI suelen ser foundation models preentrenados y luego se adaptan a tareas diversas.

8

GenAI solo funciona con texto, no con imágenes o código.

9

ML tradicional se centra en tareas predictivas específicas como clasificación o regresión, basadas en datos etiquetados.

10

GenAI se utiliza para generación de contenido y asistencia creativa, no solo para predicción de resultados.

 
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