Abstract

Abstract: This paper includes the study of complex process by which artificial intelligence systems create fictional stories. In this process we cover the five processes such as The pre -processing steps for using AI to create a fictional story, Plot structure and plot production process for creating fictional stories using artificial intelligence, Character growth in the process of creating a virtual story using artificial intelligence, Generating dialogue in the process of creating a virtual story using artificial intelligence, and Using AI to revisit and iterate the process of creating fictional stories. Using state-of-the-art artificial intelligence models, especially those based on deep learning architectures such as recurrent neural networks (RNNs) and transformer models such as generative pre- trained transformers (GPTs), we analyse how these systems understand and manipulate language to create consistent fictional pieces. This paper This Make up story through empirical experiments and qualitative analysis, we carefully study the impact of different parameters, including Algorithm, Education, Fine-tuning Hint, Generation, and Evaluation methods, on the quality and diversity of the generated stories. The study also explores the role of artificial intelligence as well as human collaboration in the fiction stories writing and creative process. It discuss the Future Directions of AI’S role in creating fiction stories.

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