Learn advanced customization techniques for foundation models using Amazon SageMaker AI in this 55-minute conference talk from AWS re:Invent 2025. Discover how to effectively customize foundation models to solve specific tasks while optimizing both cost and performance. Explore parameter-efficient fine-tuning, direct preference optimization, and reinforcement fine-tuning methods that work with both proprietary and publicly available foundation models. Master the implementation of these advanced techniques through SageMaker AI's comprehensive platform, understanding how to scale your customization efforts across different model types. Gain practical insights into maximizing the value of your AI investments by leveraging SageMaker AI's capabilities for model customization, ensuring you can adapt foundation models to meet your specific business requirements efficiently and cost-effectively.