RFT

AWS has introduced Lambda-based reward functions for Amazon Nova model customization through reinforcement fine-tuning (RFT). The serverless architecture automatically scales from 10 concurrent evaluations per second during experimentation to 400+ during production training, supporting both objective RLVR and subjective RLAIF approaches.

Amazon Bedrock now enables fine-tuning of Amazon Nova models using supervised fine-tuning (SFT), reinforcement fine-tuning (RFT), and model distillation. The service automates infrastructure provisioning and training orchestration, requiring only data upload to S3 and a single API call. Fine-tuned models run on-demand at standard inference pricing without provisioned capacity requirements.