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

AWS Machine Learning Linpo Guo

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Source summary (English)

Manually tagging thousands of catalog products is slow and inconsistent. This walkthrough shows how to customize Qwen3-8B with supervised fine-tuning (SFT) and reinforcement learning with verifiable rewards (RLVR) on Amazon SageMaker serverless model customization, then deploy it for asynchronous inference to build a cost-efficient product tagging system.

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