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AI Summit: 'Hide N' Seek': A Social Deduction Game Using Controllable Language Models

Suma Bailis  (Senior Machine Learning Engineer, Google)

Jane Friedhoff  (Senior UX Engineer, Google)

Pass Type: All Access Pass, Summits Pass - Get your pass now!

Topic: Programming

Format: Session

Vault Recording: TBD

Audience Level: No

We present a social deduction game called Hide 'n' Seek, which is based entirely around open-ended dialogue with conversational AIs . The Hider is charged with blending into a chatroom full of unique and talkative NPCs, while the human Seeker is tasked with engaging the chatroom in conversation in order to suss out which "NPC'' is actually a human, creating a reverse Turing Test! We walk through our game design process and the technical details of tailoring a massive language model so that it can be used to make diverse, distinct and compelling NPCs.


The audience will develop an understanding of how large language models, like GPT-3 or LaMDA, can be used for narrative and dialogue-based gameplay. They will learn how to train a controllable LLMs so that it can be tuned by game logic for better quality in-game dialogue. They will also learn our lessons from creating an entirely LLM-powered game.

Intended Audience

The intended audience is all levels of AI/Gameplay programmers interested in large language models and how they can be used to power NPCs. No prior machine learning knowledge or training is required.