Document classification
In this tutorial, you'll use Snorkel Flow to train and build a model that classifies over 20,000 SEC filings into one of the following categories: employment, s...
Hierarchical configuration
In this page, you will learn how to create a hierarchical task (classification, extraction, etc.).
PDF extraction
In this tutorial, you will use Snorkel Flow to extract balance sheet amounts from the SEC filings of public companies.
Text information extraction
We will demonstrate how to use Snorkel Flow for a simple text information extraction application: extracting the execution date from a set of loan agreements fo...
NER from PDFs: Extracting patent data
This is a beta feature available to customers using a Snorkel-hosted instance of Snorkel Flow. Beta features may have known gaps or bugs, but are functional wor...
Multi-label classification
We will demonstrate how to use Snorkel Flow for a simple multi-label classification problem “statistics, machine learning, data analysis, data mining, and data ...
Sequence tagging
We will demonstrate how to use Snorkel Flow to extract mentions of companies in financial news articles with state-of-the-art sequence tagging technology. In th...
LLM fine-tuning and alignment
In this tutorial, you can use Snorkel to evaluate the current performance of a generative AI system. Snorkel Flow allows developers to programmatically align a ...
Evaluate GenAI output
Snorkel Flow enables enterprise AI teams to assess AI-generated output with evaluations that are: