Exowatt
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- Exowatt builds reusable SageMaker fine-tuning pipeline
AWS Machine Learning Blog reports that Exowatt used Amazon SageMaker AI serverless model customization to create a repeatable pipeline for task-specific fine-tuned models. A fine-tuned Qwen3-1.7B handled offline alarm triage, while a fine-tuned Qwen3-14B supported cloud energy-market analysis; AWS claims higher accuracy than frontier models at up to 49× lower cost, though those results were not independently verified here. The pipeline turns operational data into a certified training set, evaluated model and deployment artifact, reducing Exowatt's reported workflow from months to days.
AWS Machine Learning Blog · 🔥 0
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