Amazon SageMaker AI

Amazon Web Services published guidance on building efficient AI agents using knowledge distillation on Amazon SageMaker AI. The technique transfers capabilities from a larger model into a smaller, cheaper one, letting developers deploy agents with lower latency and cost. It is part of a broader push by cloud providers to make agentic AI workloads practical at scale.

Amazon Web Services has published a guide on building efficient AI agents using knowledge distillation on Amazon SageMaker AI. The tutorial addresses a common cost problem: agentic assistants built on frontier models run multi-step tool loops, and paying frontier-model prices at every step is hard to sustain at production scale. It demonstrates sequence-level knowledge distillation to transfer capabilities from large models to smaller, cheaper ones suitable for deployment.