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Retrieval-augmented generation Studies employing retrieval-augmented generation (RAG) architectures report significant improvements in accuracy and reliability ( Recent implementations demonstrate substantial performance gains
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The integration of Quality Management System (QMS) principles into AI/ML lifecycle management requires multidisciplinary teams encompassing People & Culture, Process & Data, and Validated Technology components to bridge the translation gap between research and operational deployment ( Risk Assessment Frameworks: Standardized evaluation of implementation risks and required controls forms a regulatory requirement under multiple frameworks
