PhD Student University of Central Florida, United States
Another way machine learning can be used in storytelling is through generative models, such as generative adversarial networks (GANs) or recurrent neural networks (RNNs). These models can be trained on large datasets of text, such as books or scripts, and can generate new text that is similar in style and content to the original data. This can be used to generate new storylines, dialogue, or even entire stories.