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Learn to modernize existing generative AI manufacturing solutions through a detailed case study with Carrier, exploring practical strategies for upgrading legacy applications to leverage modern AI capabilities. Discover how to prioritize modernization efforts when transitioning to AI-powered systems, including frameworks for identifying which components to focus on first and methodologies for selecting the most appropriate AI models for specific manufacturing use cases. Explore real-world implementation challenges and solutions through the PACE customer story, gaining insights into best practices for model evaluation, performance metrics, and assessment techniques using AWS Bedrock tools. Master the fundamentals of creating evaluation datasets in JSONL format for both general model assessment and RAG (Retrieval-Augmented Generation) evaluation scenarios, with practical examples and documentation references for implementing comprehensive testing frameworks in manufacturing environments.
