How We Built Dynamic NPC Dialogue with LLMs — Lessons from Early Access
Vantage Digital Labs has developed an NPC dialogue engine using large language models (LLMs) to create dynamic interactions in games. After several months of early access, the team has identified key insights regarding system prompt engineering, response parsing, and latency management. Their approach aims to enhance player engagement by allowing NPCs to respond more naturally and contextually to player inputs.
- ▪Traditional NPC dialogue is static and requires extensive manual writing.
- ▪The team found that a well-crafted system prompt is more important than the size of the model used.
- ▪They target a response latency of under 500 milliseconds to maintain player engagement.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3949861) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Murni Marcus Posted on May 25 • Originally published at vantage-digital.online How We Built Dynamic NPC Dialogue with LLMs — Lessons from Early Access #gamedev #ai #llm #npc How We Built Dynamic NPC Dialogue with LLMs We're a small team at Vantage Digital Labs building AI tooling for game developers. Our first product is an NPC dialogue engine powered by LLMs — and we've been running it in early access for a few months now. Here's what we've learned.
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