This video demonstrates how to use Amazon SageMaker JumpStart to quickly deploy pre-trained machine learning models. It shows how to launch foundation models like text summarization in the SageMaker console and SageMaker Studio. It also walks through deploying a sentiment analysis model to an endpoint, fine-tuning it, and making inference requests. The video highlights how SageMaker JumpStart can help developers rapidly build and prototype with machine learning.
Learn more at: https://go.aws/447IC0w
Subscribe:
More AWS videos: https://go.aws/3m5yEMW
More AWS events videos: https://go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#machinelearning #SageMaker #AWS #AmazonWebServices #CloudComputing
