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04 May, 2024
  Jupyter Notebook

What is Amazon SageMaker ?

Amazon SageMaker is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case. With SageMaker, you can build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more – all in one integrated development environment (IDE). SageMaker supports governance requirements with simplified access control and transparency over your ML projects. In addition, you can build your own FMs, large models that were trained on massive datasets, with purpose-built tools to fine-tune, experiment, retrain, and deploy FMs. SageMaker offers access to hundreds of pretrained models, including publicly available FMs, that you can deploy with just a few clicks.

Amazon SageMaker Features

Choice of ML tools Enable more people to innovate with ML through a choice of tools—IDEs for data scientists and no-code interface for business analysts.

Fully managed, scalable infrastructure Build your own ML models, including FMs to power generative AI applications, with integrated purpose-built tools and high performance, cost effective infrastructure.

Repeatable and responsible ML workflows Automate and standardize MLOps practices and governance across your organization to support transparency and auditability.

Human-in-the-loop Harness the power of human feedback across the ML lifecycle to improve the accuracy and relevancy of FMs with human-in-the-loop capabilities.