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Storytelling has always been a way to connect and imagine new worlds. Now, with Generative Agents - AI-powered characters that can think, act, and adapt - we can take storytelling to a whole new level. But what if these agents could change and grow in real time, driven by live data streams?
Inspired by the Standford's paper "Generative Agents: Interactive Simulacra of Human Behavior", this session explores how to build dynamic, AI-driven worlds using Apache Kafka, Apache Flink, and Apache Iceberg. We'll use a Large Language Model to power for conversation and agent decision-making, integrate Retrieval-Augmented Generation (RAG) for memory storage and retrieval, and use JavaScript to tie it all together. Along the way, we’ll examine different approaches for data processing, storage, and analysis.
By the end, you’ll see how data streaming and AI can work together to create lively, evolving virtual communities. Whether you’re into gaming, simulations, research or just exploring what’s possible, this session will give you ideas for building something amazing.
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2026/02/10
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