# Nova Forge SDK series part 2: Practical guide to fine-tune Nova models using data mixing capabilities Canonical URL: https://www.traeai.com/articles/4e01083e-0870-4c3f-ad8c-53671ff0e152 Original source: https://aws.amazon.com/blogs/machine-learning/nova-forge-sdk-series-part-2-practical-guide-to-fine-tune-nova-models-using-data-mixing-capabilities/ Source name: AWS Machine Learning Blog Content type: article Language: 英文 Score: 8.2 Reading time: 14 分钟 Published: 2026-04-17T17:27:40+00:00 Tags: Amazon Nova, 大模型微调, 数据混合, SageMaker, LoRA ## Summary AWS 详解如何使用 Nova Forge SDK 通过数据混合技术微调 Nova 模型,在保留通用能力的同时提升领域任务性能。 ## Key Takeaways - 数据混合可兼顾领域适配与模型通用能力,避免灾难性遗忘 - 提供从环境配置到评估的完整微调工作流和代码示例 - 需依赖 SageMaker HyperPod 和 MLflow 等 AWS 基础设施 ## Citation Guidance When citing this item, prefer the canonical traeai article URL for the AI-readable summary and include the original source URL when discussing the underlying source material.