Databricks and AWS SageMaker integrate for governed LLM fine-tuning

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-13 17:22

Databricks and Amazon SageMaker have collaborated to enable fine-tuning of large language models (LLMs) while maintaining strict data governance. This integration allows users to leverage SageMaker's AI training capabilities with data managed by Databricks Unity Catalog, ensuring compliance and visibility. The solution uses Amazon EMR Serverless for data preprocessing and securely accesses governed data, tracks lineage, and registers trained models back into Unity Catalog. AI

影响 Enables enterprises to fine-tune LLMs with enhanced data governance and compliance.

排序理由 This is a technical integration guide for using existing products together, not a new product launch from a frontier lab.

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Databricks and AWS SageMaker integrate for governed LLM fine-tuning

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AWS Machine Learning Blog TIER_1 English(EN) · Genta Watanabe · 2026-05-13 17:22

Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI

In this post, we demonstrate how to build a secure, complete LLM fine-tuning workflow that integrates Unity Catalog with Amazon SageMaker AI using Amazon EMR Serverless for preprocessing. The solution shows how to securely access governed data, maintain lineage across services, f…

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Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI

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