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Explore advanced AI model customization through Amazon Bedrock's Reinforcement Fine Tuning (RFT) capabilities in this 30-minute conference talk from AWS re:Invent 2025. Discover how to overcome the challenges of traditional fine-tuning approaches that require extensive human annotation by leveraging custom evaluators instead of large labeled datasets. Learn to implement RFT with Amazon Nova and open-source models using cutting-edge techniques including RLVR for code generation and RLAIF for AI feedback integration. Understand how reinforcement learning-based customization methods significantly improve model accuracy, safety, and adaptability for enterprise applications while dramatically reducing the data annotation burden that typically constrains AI model development. Gain practical insights into deploying these advanced training methodologies to enhance your organization's AI capabilities and streamline the model customization process for complex business tasks.
