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Sign up free →Amazon Bedrock now supports fine-tuning of Amazon Nova models to customize them for specific use cases
A complete implementation guide demonstrates fine-tuning through an intent classifier example that outperforms baseline models
Developers learn to prepare training data, configure hyperparameters, and optimize models while preventing overfitting
Fine-tuned models achieve improved accuracy and reduced latency when deployed for production use
Training metrics and loss curves enable developers to evaluate and validate fine-tuning results
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