Evaluate foundation models with Amazon SageMaker Clarify | Amazon Web Services

1 493
22.6
Опубликовано 21 марта 2024, 16:28
Amazon SageMaker Clarify provides purpose-built tools to gain greater insights into your ML models and data, based on metrics such as accuracy, robustness, toxicity, and bias to improve model quality and support responsible AI initiative. With the rise of generative AI, data scientists and ML engineers can leverage publicly available foundation models (FMs) to accelerate speed-to-market.

To remove the heavy lifting of evaluating and selecting the right FM for your use case, Amazon SageMaker Clarify supports FM evaluation to help you quickly evaluate, compare, and select the best FM for your use case based on a variety of criteria across different tasks within minutes. It allows you to adopt FMs faster and with confidence.

Learn more about Amazon SageMaker Clarify: go.aws/3PsR4Te

Subscribe to AWS: go.aws/subscribe

Sign up for AWS: go.aws/signup
AWS free tier: go.aws/free
Explore more: go.aws/more
Contact AWS: go.aws/contact

Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library

Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.

#GenerativeAI #SageMaker #AWS #AmazonWebServices #CloudComputing
автотехномузыкадетское