Build an AI-powered product tagging system with Amazon SageMaker serverless model customization
- AWS 近 90 天出现 91 次
- 上一次：同一天稍早 · Announcing instance preference lists for Amazon SageMaker AI training jobs
发生了什么
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.
摘要按规则整理自下方来源原文