Transform AI development with new Amazon SageMaker AI model customization and large-scale training capabilities

With the advancement in tools and services that make generative AI models accessible, businesses can now access the same foundation models (FMs) as their competitors. True differentiation comes from building AI that is highly customized for your business—something your competitors can’t effortlessly replicate. Although today’s FMs are genuinely intelligent with vast knowledge and reasoning capabilities, intelligence without context is merely potential. A model knows how to think, but it doesn’t know how you think, your vocabulary, your data patterns, or your industry constraints.

Building models that deeply understand your business depends on how you make the model learn from your data and preferences. Models learn through a step-by-step process that mirrors human learning: they first acquire general world knowledge through pre-training, then gain specialized knowledge through supervised fine-tuning, and finally learn to align with specific preferences through techniques like direct preference optimization (DPO). At the inference ...