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.
AWS just made it way easier to use SageMaker to fine-tune AI models for tool use and your firm's specific tasks
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October 22, 2026
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carl.franzen@venturebeat.com (Carl Franzen)
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venturebeat