This article delves deeper into the architecture of creating non-player characters (NPCs) for games using generative AI services on AWS. The solution provides three options for generating dialogues for NPCs, including using base language models, fine-tuned language models, and a context-aware Retrieval Augmented Generation (RAG) pipeline. The application is deployed using a continuous integration and continuous deployment (CI/CD) pipeline, making it serverless, scalable, and cost-effective. The architecture is broken down into four sections, including API invocation, code pipeline, continuous fine-tuning, and RAG with automated vector database hydration. The article provides a detailed explanation of each component, highlighting the use of AWS services such as Amazon Bedrock, Amazon API Gateway, AWS Lambda, and Amazon SageMaker. The architecture is flexible and can be applied to operationalizing other types of generative AI applications. Overall, the article provides a comprehensive guide to building intelligent NPCs using generative AI on AWS.
Building Intelligent NPCs with Generative AI on AWS
The architecture is serverless, meaning there is no infrastructure to manage, all services scale automatically, and you only pay for what you use.
1–2 minutes
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