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Amazon brings agentic fine-tuning to SageMaker with support for Llama, Qwen, Deepseek, and Nova

Amazon SageMaker AI now includes an AI agent that lets developers describe use cases in plain language, automatically recommends training methods, prepares data, kicks off training, and delivers editable Jupyter notebooks. Supports Llama, Qwen, Deepseek, and Nova model families.

SourceThe DecoderAuthor: Maximilian Schreiner
Amazon brings agentic fine-tuning to SageMaker with support for Llama, Qwen, Deepseek, and Nova
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • SageMaker AI introduces the Kiro AI agent for automated fine-tuning via natural language.
  • The agent is preinstalled in the development environment; alternative agents like Claude Code can be used.
  • Supports Llama, Qwen, Deepseek, and Amazon's own Nova model families.
  • All generated code is editable and reusable.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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