Snorkel AI
The Data-Centric AI Platform.
Overview
Snorkel AI is a data-centric AI platform that enables users to label and build training datasets programmatically. Instead of labeling data by hand, users write 'labeling functions' that capture heuristics, patterns, or business logic to label data at scale. The platform then automatically de-conflicts and combines these weak labels into high-quality training data. It's designed for subject matter experts to contribute their knowledge to the AI development process.
āØ Key Features
- Programmatic data labeling with labeling functions
- Weak supervision to combine and de-noise labels
- Integrated with major LLMs for foundation model fine-tuning
- Data-centric workflows for iterating on data
- Support for text, documents, and structured data
- Model training and error analysis
šÆ Key Differentiators
- Unique programmatic approach to data labeling
- Enables subject matter experts to build AI applications
- Extremely fast labeling for large, complex datasets
Unique Value: Enables the creation of massive, high-quality training datasets in a fraction of the time and cost of manual labeling by using a programmatic, expert-driven approach.
šÆ Use Cases (5)
ā Best For
- Classifying financial reports for investment banks
- Extracting information from insurance claims documents
- Fine-tuning an LLM for a specific legal domain
š” Check With Vendor
Verify these considerations match your specific requirements:
- Image or video annotation
- Projects where the logic for labeling cannot be easily expressed as rules or heuristics
- Teams that prefer manual, point-and-click annotation
š Alternatives
Offers a fundamentally different and faster approach to labeling text and document data compared to traditional manual annotation tools.
š» Platforms
š Integrations
š Support Options
- ā Email Support
- ā Phone Support
- ā Dedicated Support (Enterprise tier)
š Compliance & Security
š° Pricing
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