Overview
Self-hosted platform for curating and labeling data for LLM fine-tuning, RLHF, and evaluation. Build high-quality datasets with human feedback loops and AI-assisted annotation.
SECURITY: This AMI binds services to localhost only. Configure a reverse proxy (Nginx/Caddy) with HTTPS for production access. Change all default passwords immediately after launch.
Highlights
- Purpose-built for LLM fine-tuning, RLHF, and preference data
- AI-assisted annotation with model suggestions and active learning
- Flexible annotation schemas for text, chat, ranking, and classification
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/hour |
|---|---|---|
t3.large Recommended | t3.large instance | $0.035 |
t3.medium | t3.medium instance | $0.035 |
m5.large | m5.large instance | $0.035 |
r5.large | r5.large instance | $0.035 |
m5.xlarge | m5.xlarge instance | $0.035 |
Vendor refund policy
No refunds after free trial.
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Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release
Additional details
Usage instructions
SSH as ubuntu. First boot pulls Docker images (2-5 min). App on port 6900.
Support
Vendor support
Community support via GitHub.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.