JumpStart
- 🔧 ML Hub with many pre-trained models and pre-built solutions
- Foundation Models (FMs), Computer Vision (CV) models and Natural Language Processing (NLP) models
- Examples: HuggingFace, Databricks, Meta…
- 💡 Bigger selection and variety than Amazon Bedrock
- Screenshot
- Models deployed directly on SageMaker
- full control of deployment options
- Models can be fully customized for your data and use-case
- Two options
- Choose a model from ML hub and customize it
- Pre-built ML solutions for
- Demand forecasting
- Credit rate prediction
- Fraud detection
- Computer Vision
Canvas
- 🔧 Build ML models using a visual interface (no code)
- Access to ready-to-use models from Bedrock or JumpStart
- Build your own custom model using AutoML powered by SageMaker Autopilot
- Leverage Data Wrangler for data preparation
- Ready-to-use models from Amazon Rekognition, Amazon
Comprehend, Amazon Textract
- Makes it easy to build a full ML pipeline without writing code and leveraging various AWS AI Services
- Screenshots
MLFlow on Amazon SageMaker
- 🔧 MLFlow: open-source tool which helps ML teams manage the entire ML lifecycle
- ‼️ Independent from SageMaker!!
- …But fully integrated into SageMakerStudio!
- SageMaker Studio can launch MLFlow Tracking Servers with a few clicks
- used to track runs and experiments
- Screenshot