利用 SageMaker Unified Studio 和 S3 加速 LLM 微调的非结构化数据

Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpose buckets. This integration allows teams to easily leverage unstructured data stored in Amazon Simple Storage Service (Amazon S3) for machine learning and data analytics. The post demonstrates how to integrate S3 general purpose buckets with Amazon SageMaker Catalog to fine-tune Llama 3.2 11B Vision Instruct for visual question answering (VQA) using Amazon SageMaker Unified Studio.