Build efficient agents with knowledge distillation on Amazon SageMaker AI
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.
What happened
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.
Why it matters
The financing changes available capital and competitive capacity around Amazon; terms and investor participation remain key.
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2 reports · 1 original report · 1 independent
- AWS Machine Learning BlogPrimary source · Supports · EN · 100%Build efficient agents with knowledge distillation on Amazon SageMaker AI ↗
- AWS Machine Learning BlogPrimary source · Supports · EN · 54%Prepare web content for Amazon Bedrock Knowledge Bases with Crawl4AI ↗
Claims
- Build efficient agents with knowledge distillation on Amazon SageMaker AI Observed
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