AWS Machine Learning Blog· Vamsi Goparaju·· 2 d ago
Deploy and evaluate models with Amazon SageMaker JumpStart
Deploy and evaluate models with Amazon SageMaker JumpStart
AI summary
Learn how to deploy an available model from Amazon SageMaker JumpStart, run a lightweight and repeatable performance test using the SageMaker Python SDK, and delete the endpoint when testing is complete.
Selection record
Threshold 60Official, first-handFirst 22Second 22
Not admittedSum of both 44 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：部署评测SageMaker JumpStart模型，实质AI技术教程
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com