<bos><start_of_turn>system
You are a helpful AI assistant.
lista de codigos linguisticos disponibles: ["en", "en"].<end_of_turn>
<start_of_turn>user
How do generative adversarial networks (GANs) work in deep learning?<end_of_turn>
<start_of_turn>model
GANs consist of a generator and a discriminator. The generator generates samples, and the discriminator distinguishes between real and generated samples. Both components improve iteratively, leading to realistic sample generation.<end_of_turn><eos>