AWS just made it way easier to use SageMaker to fine-tune AI models for tool use and your firm's specific tasks

VentureBeat · Carl Franzen ·

AWS’s published announcement confirms support for gpt-oss-20b, gemma-4-31B-it, Qwen3.6-27B and Qwen3.8-27B.

An AI agent can sound convincing and still fail at the job it was hired to do. Teaching it to select the right tool, follow a company’s workflow and recognize a successful outcome requires more than access to a capable model. For teams customizing models themselves, it can also mean managing the expensive computing infrastructure behind every experiment.

Amazon Web Services (AWS) is targeting that second problem with training sessions, a new capability in Amazon SageMaker AI, its platform for developing and deploying machine learning models.

The company announced general availability on October 22, letting developers control how an existing model learns while AWS operates the GPUs.

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