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Build an AI-powered product tagging system with Amazon SageMaker serverless model customization

· By Antonio Sedino, CTRO · Published by Reinventy Solutions Corp.

Amazon SageMaker serverless model customization enables cost-efficient product tagging by fine-tuning Qwen3-8B with supervised and reinforcement learning on catalog data.

Amazon SageMaker serverless model customization enables cost-efficient asynchronous inference for product tagging systems using Qwen3-8B with supervised fine-tuning and reinforcement learning with verifiable rewards.

Read the original source at AWS Machine Learning Blog ↗