รายงานความเปลี่ยนแปลงสำคัญในวงการ AI อย่างชัดเจนและตรงไปตรงมา

AWS Details AI Product Tagging System Built With SageMaker Serverless Model Customization

AWS published a technical walkthrough describing how to build a product tagging system by customizing the Qwen3-8B open-weight model with SageMaker serverless model customization, using supervised fine-tuning and reinforcement learning with verifiable rewards, then deploying the result to SageMaker Asynchronous Inference for catalog enrichment.

• AWS published a walkthrough for building an AI-powered product tagging system using Amazon SageMaker serverless model customization.
• The walkthrough customizes the open-weight Qwen3-8B model, first with supervised fine-tuning (SFT), then with reinforcement learning with verifiable rewards (RLVR) using Group Relative Policy Optimization (GRPO).