Overview
Snorkel AI empowers AWS customers to scale automation to the iceberg under the surface of valuable but unstructured enterprise data. Our unique approach equips data science and machine learning teams to adapt ML models of all sizes - including multi-billion parameter large language models (LLMs) - with their own data and expertise, accelerating AI application development up to 100x.
Deployed on AWS and leveraging AWS generative AI services, Snorkel Flow enables teams to quickly generate high-quality training sets and models over complex, highly variable, often proprietary and confidential data.
Snorkel Flow integrations with AWS include...
Seamless access to data on AWS using Snorkel Flow's native S3 connector. Prompt and fine-tune LLMs with Bedrock and JumpStart integrations. Accelerated model training, serving, and adaptability with SageMaker. Easy deployment and scalability on EKS. ... and more!
This listing enables organizations with an existing Snorkel Flow platform subscription deployed on AWS to purchase Application Units.
Planning a new AI development project? For a custom proposal reflecting your use cases and internal requirements please contact us directly at info@snorkel.ai .
Highlights
- Develop AI data programmatically - Wrangling your data is crucial and challenging, even with the latest LLMs. Snorkel Flow captures and encodes your domain expertise and automates manual tasks like filtering, curating, labeling, and slicing.
- Increase accuracy with guided error analysis - LLMs often face issues such as producing hallucinations, preventing them from being deployed in enterprise settings. Snorkel Flow gives you the tools to systematically identify errors and accurately develop data slices to improve quality and fosters innovation through multi-persona collaboration. Efficiently harness SME collective expertise by seamlessly collaborating directly with business and data science teams.
- Unify prompting, RAG, and fine-tuning - Snorkel Flow offers access to the latest open-source and closed-source models and state-of-the-art techniques like prompting, retrieval-augmented generation, fine-tuning, instruction-tuning, and pre-training within a robust, enterprise-grade platform. Streamline programmatic data curation and model customization on a single platform and make swift adjustments to fine-tune AI performance to your unique business demands.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Hosted Snorkel Flow | Application Units for Snorkel Flow on AWS | $60,000.00 |
Vendor refund policy
Payment obligations are non-cancelable and non-pro-ratable for partial months and fees paid are non-refundable.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
Snorkel AI Support provides timely resolutions during business hours, 6AM PT through 6PM PT Monday through Friday, excluding U.S. public holidays.
Self-service is available via our Support Portal 24x7 where you can find documentation, how-to guides, best practices and other useful material to solve your machine learning challenges.
For more information please reference Snorkel AI Support and Maintenance Terms. Learn More:
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.
