Optimizing Generative AI Models with Iterative Fine-Tuning on Amazon Bedrock

Amazon Bedrock now supports iterative fine-tuning, enabling systematic model refinement through controlled, incremental training rounds. This approach allows for continuous improvement without the risks associated with complete retraining, making it valuable for production environments. To implement iterative fine-tuning, you need a previously customized model as your starting point, standard IAM permissions, incremental training data, and an S3 bucket for training data and job outputs. The Amazon Bedrock console provides a straightforward interface for creating iterative fine-tuning jobs, where you select your previously customized model as the base model.