I know that GANs are a type of neural network architecture introduced by Ian Goodfellow and his colleagues in 2014. They consist of two primary components: a generator and a discriminator. Here's how GANs work for text generation:
GANs can be adapted for text generation by using recurrent or transformer-based networks as the generator and discriminator. Text GANs have applications in generating realistic-sounding dialogue, text completion etc.