Amazon Bedrock adds reinforcement fine-tuning simplifying how developers build smarter, more accurate AI models

Amazon Bedrock introduces reinforcement fine-tuning, enabling developers to build accurate AI models via feedback without ML expertise.

• •Delivers 66% accuracy gains over base models using reward functions instead of large labeled datasets.
• •Supports RLVR for objective tasks (code, math) and RLAIF for subjective tasks (instruction following).
• •Works with Amazon Nova 2 Lite; training data from invocation logs or JSONL files in S3.
• •Reward functions use custom Python on AWS Lambda or foundation models as evaluators.

This summary was automatically generated by AI based on the original article and may not be fully accurate.