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Amazon Bedrock allows you to customize foundation models with your own data using fine-tuning and continued pre-training. This enables you to create unique user experiences tailored to your domain. Fine-tuning increases model accuracy by providing task-specific labeled training data, while continued pre-training helps models become more domain-specific through unlabeled data. Data privacy and network security features are important considerations, with control over data and encryption in transit and at rest.

Customize models in Amazon Bedrock with your own data using fine-tuning and continued pre-training