This talk delves into how language models transform story narratives into fully realized game worlds. Starting with a story, we generate an entire game world including detailed maps, locations, and objects that align with the narrative. Furthermore, the world is populated with dynamic characters that have evolving memories, relationships, and behaviors shaped by the narrative. This approach can potentially complement existing generation tools to leverage the strength of different techniques.
The talk will feature a Murder Mystery demo, demonstrating an end-to-end generation pipeline going from story to a playable game, resulting in a meaningful generated world that reflects the intricate relationship between story, environment, and character evolution.
Takeaways:
- Using LLMs for narrative-driven generation for game development
- Combine LLMs with game mechanics to drive dynamic NPC behaviors
- Use cases where LLMs are most effective as a generation tool, along with practical tips and strategies