| Overview |
Amazon's managed service providing access to leading foundation models from AI21, Anthropic, Cohere, Meta, and more. |
End-to-end computer vision platform for building, training, and deploying custom object detection and classification models. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium ($-$$$) |
| Key Features |
- Multi-model access
- Fine-tuning
- RAG
- Agents
- Guardrails
- Knowledge bases
- Provisioned throughput
|
- Dataset management
- Auto-labeling
- Model training
- Deployment
- Inference
- Active learning
- Universe dataset hub
|
| Pros |
- Enterprise-grade
- Multiple model providers
- AWS integration
- Security features
|
- Easy to use
- End-to-end platform
- Active learning
- Large community
|
| Cons |
- Complex pricing
- AWS lock-in
- Steeper learning curve
- Region limitations
|
- Limited free tier
- Custom models only
- Can be expensive at scale
|
