The Number One Educational Resource for the Game Industry
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Overview:
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If you've played with Dungeon AI or LitRPG Adventures, you've seen the power of language models like GPT-3 and LaMDA in action. However, while large language models can generate story and dialogue that makes sense, their coherence often only lasts for a few hundred words before they lose the thread of what they're talking about, making it difficult to use them out of the box for goal-oriented experiences like games. In this talk, we demonstrate how to use LLMs in a graph-based authorship tool inspired by Twine to create narrative games populated with coherent and immersive NPCs that use dialogue unique to each playthrough and tailored to the player's input. We will walk through the creation of a graph, demo playthrough of the resulting narrative game, and equip the audience with tools to build next generation narrative games using off the shelf language models.
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