Build efficient agents with knowledge distillation on Amazon SageMaker AI

Amazon SageMaker AI demonstrates how to use sequence-level knowledge distillation (SeqKD) to train smaller, cost-efficient shopping assistant agents that maintain quality by learning from larger teacher models. This approach reduces the multiple costly calls to large models during multi-step agentic tasks by fine-tuning smaller student models on high-quality teacher-generated data.