Agent 基础设施官方公告自动监测

Meta’s Muse Spark Open now available in Amazon SageMaker JumpStart

Meta's coding-optimized model Muse Spark Open is now available on Amazon SageMaker JumpStart for deployment via SageMaker Studio or the Python SDK.

原始内容为英文;当前页面提供中文导航与来源说明,具体事实请以原文为准。

人类阅读

为什么值得关注

According to the AWS Machine Learning blog, Meta's Muse Spark Open, a coding-optimized open-weight model, has been introduced to Amazon SageMaker JumpStart. Users can deploy the model to a dedicated SageMaker AI endpoint within their AWS accounts through SageMaker Studio or the SageMaker Python SDK and execute inference requests.

Agent 解析

可执行摘要

Meta's Muse Spark Open model is added to Amazon SageMaker JumpStart. Deployments can be initiated to SageMaker AI endpoints in AWS accounts via SageMaker Studio or the SageMaker Python SDK.

Agent 实用度
80/100
可信度
90%
机器格式
JSON + Markdown
下一步

开发者应核对什么

  • Deploy Meta's Muse Spark Open using Amazon SageMaker JumpStart via SageMaker Studio or the SageMaker Python SDK if coding-optimized open-weight models are required on SageMaker AI endpoints.
分类

标签与路由

awsbedrockmachine-learning
相关信号

继续阅读