AWS shows Qwen3-8B fine-tuning for product tagging on SageMaker serverless
AWS published a walkthrough for building an AI product tagging system using Amazon SageMaker serverless model customization. The guide fine-tunes Qwen3-8B with supervised fine-tuning and reinforcement learning with verifiable rewards, then deploys it for asynchronous inference, addressing slow and inconsistent manual tagging of thousands of catalog products.
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