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Navigating Quality Assurance in Enterprise AI Platforms
This chapter explores the challenges of upholding quality standards in enterprise AI platforms, particularly when handling sensitive data. The discussion includes the role of compliance, strict internal rules, and innovative evaluation methods using large language models to enhance AI response accuracy while safeguarding customer information.