Design - Generative AI with Large Language Models (LLM) for Game Narrative and Level Design (Tommy Thompson)

The recent emergence of Generative AI has led to a lot of open questions as to how it can be used in game development. Is it practical to use in games? How can it be adopted? What are the skills developers need to get started? In this class we focus on how large language models (LLMs) popularised by GPT can be used in a variety of use cases, ranging from traditional game design ideation, to narrative design, dialogue generation, and even NPC control and level generation. This class will prime attendees with how to get the best out of these tools, and safe and practical ways to use them in a game development pipeline. 1) Generative AI: An Introduction a- Fundamentals of Artificial Intelligence .IP issues and how to protect your data b- AI for Content Generation: A Short History .Procedural Content Generation .PCG-ML .Natural Language Processing .NLP before LLMs c- Generative AI: Explained .Foundational Theory .Generative AI Use Cases 2) Large Language Models: Theory and Practice a- What is a LLM? b- Understanding transformer architectures. .Relevance of parameters counts etc. .Common Techniques and Approaches c- Prompting and Prompt Engineering d- Training LLMs for Practical Use .Challenges of training LLMs .Pre-training for domain adaptation. e- Practical Examples: .Prompt Engineering .Training Mini Models .Pros and Cons 3) Generative AI for Game Design a- Overview .Mechanic Design .Narrative Design .Controlling Players .Controlling NPCs .Generative AI in Level Design .Building Commentary Systems b- Prompt Engineering for Game Design c- Technical Requirements of Each 4) Generative AI for Narrative a- Overview b- Model Practices c- Prompt Practices d- Practical Task: Building a Character with AI 5) Generative AI for Mechanic Design a- Overview b- Prompt Practices c- Running Code in GPT d- Practical Task: GPT Mechanic Design 6) Using LLMs as Players & NPCs a- Technical Overview b- Design Considerations c- Practical Example: AI that ‘Plays’ Using GPT d- Practical Example: NPCs using LLMs 7) Building LLM Powered Level Generators a- Technical Overview b- Design Considerations c- Practical Example: Building Levels Using LLMs 8) Summary / Open Discussion