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Learn how to build and evaluate a Retrieval-Augmented Generation (RAG) application using AIConfig in this AI workshop. Discover how to decouple prompt engineering from application development, save prompts and model settings in a YAML config, and independently version and edit them. Explore the challenges of model-graded RAG evaluation and learn techniques for reliable evaluation of application behavior. Transform Visual Studio Code into a universal prompt playground using the AIConfig Editor extension. Gain insights on preparing prompts for production use, optimizing performance, and reducing costs. Follow along with practical demonstrations and code examples to enhance your skills in developing AI-powered applications.
