Amazon 为 SageMaker 引入智能体微调功能，支持 Llama、Qwen、Deepseek 和 Nova
阅读原文· the-decoder.comAmazon SageMaker AI 新增了一个 AI 智能体，旨在帮助开发者定制语言模型。该功能支持对 Llama、Qwen、Deepseek 和 Nova 等主流模型进行智能体驱动的微调，使开发者能更高效地优化模型以适应特定任务，无需从零开始构建。这标志着 AWS 在降低大模型定制门槛、提升开发效率方面迈出重要一步。
Amazon brings agentic fine-tuning to SageMaker with support for Llama, Qwen, Deepseek, and Nova
Amazon SageMaker AI now includes an AI agent designed to help developers customize language models. SageMaker AI is Amazon's cloud platform for building, training, and deploying machine learning models.
Instead of wrestling with different APIs and data formats, developers can now describe their use case in plain language. The agent then recommends the right training method, prepares the data, kicks off training, and delivers the finished code as Jupyter notebooks.
Amazon's Kiro AI agent comes preinstalled in the development environment, but developers can also use Claude Code or other agents. Nine prebuilt "skills" handle the workflow, from checking the dataset to deploying the finished model. The agent supports model families like Llama, Qwen, Deepseek, and Amazon's own Nova. All generated code is editable and reusable.