Snorkel AI — AI Data Management Tools

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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?

Quantitative Analysts Machine Learning Engineers Research Analysts Data Analysts Research Scientists Business Analysts Data Scientists

Features and Benefits

Programmatic Data Labeling
Label large datasets quickly by encoding domain knowledge into labeling functions, reducing manual labeling time and costs.
LLM Integration
Leverage large language models to generate initial labels for datasets, jumpstarting the labeling process.
Guided Error Analysis
Identify and correct errors in your training data using built-in error analysis tools and model feedback.
LLM Evaluation
Perform custom evaluations of large language models based on domain-specific criteria and enterprise policies.
RAG Pipeline Optimization
Fine-tune embedding models and extract document metadata to enhance retrieval accuracy in RAG systems.