Build efficient agents with knowledge distillation on Amazon SageMaker AI
AWS Machine Learning Blog reports: Agentic assistants built on frontier models run a multi-step tool loop, and paying frontier prices on every step is hard to sustain at production scale. This post shows how to use sequence-level knowledge distillation (SeqKD) to transfer a frontier teacher's agentic behavior into a small, lower-cost student on Amazon SageMaker AI.
Key points
- Source: AWS Machine Learning Blog
- Published: November 2, 2026
- Topics: Amazon, Artificial Intelligence, Large Language Models, AI Agents
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