What is Snorkel AI?
Snorkel AI is a programmatic data labeling platform for AI development. It allows data scientists and subject matter experts to quickly create training datasets, fine-tune models, and build specialized AI applications for tasks like document classification and information extraction.
What sets Snorkel AI apart?
Snorkel AI stands out with its programmatic approach to data labeling, enabling data scientists to create large training datasets without manual effort. This method proves especially useful for teams working on specialized tasks like document classification or entity extraction. Snorkel AI's adaptability allows quick adjustments to changing data or business goals, making it a valuable tool for dynamic AI development projects.
Snorkel AI Use Cases
- AI-powered data labeling
- Custom LLM fine-tuning
- Automated document extraction
- Specialized model training
- Programmatic AI development
Who uses Snorkel AI?
Features and Benefits
- Programmatic Data LabelingLabel large datasets quickly by encoding domain knowledge into labeling functions, reducing manual labeling time and costs.
- LLM IntegrationLeverage large language models to generate initial labels for datasets, jumpstarting the labeling process.
- Guided Error AnalysisIdentify and correct errors in your training data using built-in error analysis tools and model feedback.
- LLM EvaluationPerform custom evaluations of large language models based on domain-specific criteria and enterprise policies.
- RAG Pipeline OptimizationFine-tune embedding models and extract document metadata to enhance retrieval accuracy in RAG systems.
Pricing
Enterprise Price not available
- AI data development platform
- LLM evaluation
- Data labeling & annotation
- LLM fine-tuning
- RAG optimization
- Collaborative platform
- Integration with existing AI/ML stack