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, and more. SageMaker offers access to hundreds of pretrained models, with purpose-built tools to fine-tune, experiment, retrain, and deploy.
Human-in-the-loop
Harness the power of human feedback across the ML lifecycle to improve the accuracy and relevancy of Foundation Models (FMs) with human-in-the-loop capabilities.
Choice of ML tools
Enable more people to innovate with ML through a choice of tools: data scientists and ML engineers can use the built-in IDE (Integrated Development Environment) to build FMs from scratch and evaluate and customise them; while business analysts can use a no-code interface to engage with models and refine their insights.
Repeatable and responsible ML workflows
Automate and standardize MLOps (Machine Learning Operations) practices and governance across your organization to support transparency and auditability. SageMaker supports governance requirements with simplified access control and transparency over your ML projects.
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