Amazon SageMaker JumpStart
Explore how Amazon SageMaker JumpStart helps you deploy and customize machine learning models quickly using foundational models, pretrained algorithms, and solution templates. Understand prompt engineering, fine-tuning, and model evaluation to adapt AI solutions with minimal coding.
Amazon SageMaker JumpStart is like a starter toolkit for machine learning projects with support for foundational models (FMs), algorithms, and end-to-end solutions. With JumpStart, users can explore and experiment with a variety of ready-to-use FMs, pretrained algorithms, and fully customizable solutions to support various AI-driven tasks.
Features of JumpStart
The Sagemaker JumpStart includes:
Ready-to-use FMs: JumpStart offers a broad selection of foundation models from well-known providers like AI21 Labs, Cohere, Databricks, Hugging Face, Meta, Mistral AI, and Stability AI. These FMs are optimized for various tasks, such as text, image, and video generation. They can be deployed quickly and customized for specific tasks using prompt engineering or fine-tuning.
Pretrained algorithms: JumpStart includes built-in algorithms for common ML tasks, such as classification and sentiment analysis. These algorithms allow beginners to ...