Evaluate foundation models with Amazon SageMaker Clarify | Amazon Web Services

345
12.8
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 at: go.aws/3PsR4Te

Subscribe:
More AWS videos: go.aws/3m5yEMW
More AWS events videos: go.aws/3ZHq4BK

Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: 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.

#GenerativeAI #SageMaker #AWS #AmazonWebServices #CloudComputing
автотехномузыкадетское