Gan - What is the difference between NLP and GANs?

Two neural networks, the generator and the discriminator, make up a Generative Adversarial Network (GAN). All three of these contribute to the creation of data that is almost indistinguishable from real data. Natural Language Processing (NLP) makes use of GANs to improve training data, build language models capable of accurate text prediction, and generate speech-like output.