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在Amazon SageMaker AI上使用P-EAGLE并行化推测解码

Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI

精选理由

AWS教你用P-EAGLE在SageMaker上把推理加速好几倍,选模型调参数就能部署,简单实用。

AI 摘要

本文介绍如何利用Amazon SageMaker AI中的P-EAGLE方法并行化推测解码,加速生成式AI推理。用户可从SageMaker JumpStart目录中选择兼容模型,并配置并行草稿生成参数。通过部署优化的实时SageMaker AI端点,可显著降低推理延迟。P-EAGLE基于EAGLE框架,支持多头并行推测,适用于Llama等主流模型。

图片来源 · AWS Machine Learning Blog
原文 · AWS Machine Learning Blog

Parallelize speculative decoding with P-EAGLE on Amazon SageMaker AI

This post walks you through how to use P-EAGLE directly within Amazon SageMaker AI. It will demonstrate how to select a compatible model from the SageMaker JumpStart catalog, configure the parallel drafting specifications, and deploy a highly optimized real-time SageMaker AI endpoint to accelerate your generative AI applications.