Mmastodon TechnologyAI first seen 5 d ago, last 5 d ago, peak #10
AWS shows how to cut agent costs with knowledge distillation
Original: 🤖 Build efficient agents with knowledge distillation on Amazon SageMaker AI Agentic assistants built on frontier models
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.
Why now: Developers are actively seeking ways to reduce the high inference costs of running AI agents at scale.
Amazon Web ServicesAmazon SageMaker AI
Evidence
- 🤖 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 kn... 📰… · feed@igeek.gamer-geek-news.com
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