Abstract

In this work we present our approach to generating high-quality episodic content for IP's (Intellectual Property) using large language models (LLMs), custom state-of-the art diffusion models and our multi-agent simulation for contextualization, story progression and behavioral control. Powerful LLMs such as GPT-4 were trained on a large corpus of TV show data which lets us believe that with the right guidance users will be able to rewrite entire seasons.