Developing an Agent to Play Minecraft: An Overview of Agentic Workflow
Join me as I demonstrate how to build an AI agent, Rocky, that plays Minecraft, showcasing its abilities in a live demo and walking you through the architecture of Amazon Bedrock.
- * The speaker will show how they built an agent to play Minecraft using a genetic workflow.
- * An agent takes inputs like chat or unstructured data, uses tools to satisfy requests, and may use a large language model (LLM) to orchestrate the tools.
- * In the context of Minecraft, chat comes from the in-game chat function, and the agent can use various tools within the game world, such as building, digging, farming, or slaying mobs.
- * The agent becomes a bot that follows instructions given via chat, using LLM to generate responses and perform actions based on user requests.
- * The speaker will live demo the process with their Minecraft bot named Rocky, which can understand commands, find pigs, dig holes, and more.
- * Rocky's behaviors and actions are demonstrated through a series of examples in the Minecraft world.
- * The speaker mentions that they started building Rocky using a container but switched to Amazon Bedrock on AWS for better management and service capabilities.
- * Amazon Bedrock is a managed platform that provides a common API for various models, including Claude, Anthropic, Hugging Face, and LAMA models.
- * The speaker used the Claude Haiku model because it's fast and well-suited for their project.
- * Amazon Bedrock allows users to manage multiple tasks, trace the Chain of Thought, and maintain Return Of Control (ROC) functionality.
- * The presentation will cover building agents using infrastructure as code and offers a QR code for accessing the open-source Mineflare project.
- * The speaker launches Rocky in the Minecraft game to demonstrate its capabilities.
- * Rocky responds to various chat commands, including digging holes, building structures based on user input, and moving to specific locations.
- * The presentation encourages attendees to fill out session feedback forms for a chance to receive AWS credits and access the GitHub project link.
Source: AI Engineer via YouTube
❓ What do you think? What does the convergence of AI, games, and creativity say about our understanding of intelligence and agency? Feel free to share your thoughts in the comments!