Application studio
Dataviewer overview, Application data control pane, Dataviewer: Filter data, Dataviewer: Display control pane, Dataviewer: Data summary pane, Data content views...
Annotation studio
Annotation Studio overview, Using dataset views for generative AI, Using multi-schema annotations, Overview page: View aggregate annotation metrics, Create batc...
Image classification
Image Studio overview, Image Studio reference...
Applications and operators
Applications and operators: Build end-to-end AI applications, Operators, Custom operators (SDK), Developing and registering custom models, Candidate extractor s...
Data management
Managing file collections, Scanned PDF guide, (Beta) Use LLMs for extracting candidate spans in PDF Applications, Upload ground truth, Tips for splitting and pa...
Data labeling
Labeling function builders index, Labeling functions (LFs) overview, Search based LFs, Embeddings based LFs, Foundation model (FM) based LFs, Other LFs, LF mana...
Model training
Configure and train models, Model training progress stages, View and analyze model results, Model training in the SDK, Supported modeling libraries...
Foundation models
Foundation model suite, About external models, Using external models, Prompt builder, Prompt builder (SDK), Warm start, Warm start (SDK)...
Deployment
Deploying Snorkel-built models, Deploying Snorkel-built models to AWS SageMaker, Deploying Snorkel-built models to Azure Machine Learning, Deploying Snorkel-bui...
Settings and administration
Data security, Credential management, Supported languages...