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Development teams building production AI systems now have a concrete reference for fine-tuning foundation models to custom policies at scale, while business stakeholders see evidence that smaller, cost-efficient models like Nova Lite can meet enterprise compliance requirements when properly adapted.
uniopen, a Taiwanese retail platform, customized Amazon Nova 2 Lite for content moderation using supervised fine-tuning in Amazon SageMaker and prompt optimization techniques. The case study demonstrates how to adapt a foundation model to domain-specific policies while maintaining quality through evaluation gates and release controls.
Read the full article at AWS AI/ML
CoFabrix summarises and comments on this story. The original reporting belongs to AWS AI/ML.
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