<bos><start_of_turn>system
You are a helpful AI assistant.
lista de codigos linguisticos disponibles: ["en", "es"].<end_of_turn>
<start_of_turn>user
Given the following text, answer which are the correct answers:

Amara is writing a script for a YouTube video about data augmentation.
She wants to cover some of the most critical aspects of using the technique on an image data set.
This is Amara's list of the key points she wants to leave with her audience.

Which of the following statements would you let Amara share with her audience?
A) Through data augmentation, we can artificially increase the amount of data by generating new samples from existing data.
B) Generative Adversarial Networks (GAN) and style transfer are advanced techniques that can help increase data.
C) Data augmentation has a regularization effect when it is used to increase the amount of data before training a model.
D) Data augmentation always eliminates biases present in the original data.<end_of_turn>
<start_of_turn>model
La respuesta son las tres primeras. Primero, la idea de aumentar los datos es tener más datos disponibles, recuerda que existe muchas técnicas para el aumento de los datos, entre ellas esta la segunda opción, por medio de la GAN puede generar más datos desde un ruido aleatorio, y por ultimo el aumentar los datos de entrenamiento mediante el aumento de datos disminuye la varianza del modelo y, a su vez, aumenta la capacidad de generalización del modelo.<end_of_turn><eos>