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uniopen fine-tunes Nova 2 Lite for business-specific moderation

aws.amazon.com by Felix Chin, Jia-You Lin 6 min read Editor score 7/10

uniopen uses supervised fine-tuning and prompt-level output optimization to classify interactions by behavior and subject under its retail moderation policy. The repeatable workflow shows how to adapt a general model to a product-specific policy.

What

uniopen adapted Amazon Nova 2 Lite to its retail moderation policy, which classifies behavior and subject across web, tablet, and mobile.

How

Amazon Nova 2 Pro generates candidate corrections; human reviewers verify them before they enter Amazon S3 and the evaluation and deployment workflow.

Why it matters

Human verification, fixed test sets, and regression checks help teams improve domain-specific moderation without treating generated labels as ground truth.

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