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Bringing tic-tac-toe to life with AWS AI services


Large language models (LLMs) now support a wide range of use cases, from content summarization to the ability to reason about complex tasks. One exciting new topic is taking generative AI to the physical world by applying it to robotics and physical hardware.

Inspired by this, we developed a game for the AWS re:Invent 2024 Builders Fair using Amazon Bedrock, Strands Agents, AWS IoT Core, AWS Lambda, and Amazon DynamoDB. Our goal was to demonstrate how LLMs can reason about game strategy, complex tasks, and control physical robots in real time.

RoboTic-Tac-Toe is an interactive game where two physical robots move around a tic-tac-toe board, with both the gameplay and robots’ movements orchestrated by LLMs. Players can control the robots using natural language commands, directing them to place their markers on the game board. In this post, we explore the architecture and prompt engineering techniques used to reason about ...


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