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Learn to build a fully containerized AI chatbot from scratch using Docker Model Runner in this 24-minute demonstration. Follow along as you set up LLaMA 3.2 models locally with GPU acceleration, create a real-time streaming chatbot interface using React and Go, and containerize the complete application stack with Docker Compose. Discover how to implement observability features using Prometheus, Grafana, and Jaeger to monitor your chatbot's performance. Explore how Docker simplifies generative AI development by reducing costs, improving privacy, and making model deployment as straightforward as running a single Docker command. Gain practical experience with containerization techniques for AI applications while learning to leverage Docker's tools for efficient local AI model deployment and management.
