Just released! Gartner® Hype Cycle™ for Artificial Intelligence — 2023        Read now
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  • Product
      • AI PLATFORM
      • Snorkel Flow – Programmatically label, train, and deploy AI models
      • Snorkel GenFlow – Fine-tune large language models
      • Snorkel Foundry – Data curation and pre-training for large language models
      • USE SNORKEL FOR
      • GenAI – Fine-tune LLMs to ensure efficiency, scalability, and repeatability.
      • Data labeling – Accelerate AI development with the data-centric platform powered by programmatic labeling.
      • Model training and analysis – Continuously update and analyze models to guide rapid iteration and improvement.
      • Foundation model development – Fine tune and distill foundation models and LLMs for use in production applications.
      • Enterprise AI – Benefit from enterprise-grade interoperability, security, expertise, and more.
      • FEATURED RESOURCE
      • Snorkel-Featured-ResourcesSnorkel Flow Platform Brief – Discover how Snorkel can help accelerate AI development by 10x.View now
  • Solutions
      • INDUSTRIES
      • AI for banking – Personalize customer interactions, manage risk, and improve resource
      • AI for healthcare – Speed clinical trial success, improve patient outcomes, and enhance research.
      • AI for government – Build machine learning models and AI applications across a wide variety of missions and use cases.
      • AI for insurance – Detect fraud, speed claims processing, and improve underwriting workflows.
      • AI for telecom – Assess network health, tailor customer support, and detect security risks.
      • AI APPLICATIONS
      • Document classification – Improve performance by exploiting features unique to your data with custom classification apps.
      • Named entity recognition – Solve domain-specific syntactic and semantic challenges with precise NER apps.
      • Information extraction – Collect useful text and data from virtually any table or form with flexible extraction apps.
      • Conversational AI – Automate responses to customer inquiries to improve efficiency and customer satisfaction.
      • Sentiment analysis – Tackle complex NLP challenges with nuanced sentiment analysis apps.
      • FEATURED RESOURCE
      • snorkel-solutions-featuredSnorkel Flow success stories: the ultimate collection – Learn how Snorkel Flow is powering AI innovation for the Fortune 500 and beyond.Download now
    • See all industries and AI applications
  • Technology
      • SNORKEL RESEARCH
      • Snorkel research project – Learn how Snorkel open source has advanced to production as the Snorkel Flow platform
      • Research library – Explore 60+ peer-reviewed papers as part of the Snorkel research project
      • CORE CONCEPTS
      • Data-centric AI
      • Foundation models
      • Generative AI
      • Large language models
      • Programmatic labeling
      • Weak supervision
      • FEATURED RESOURCE
      • snorkel-technology-featuredSnorkel Flow and weak supervision 101 – Discover the benefits of weak supervision for enterprise AI in this primer to Snorkel and data-centric AI.Download now
  • Case studies
      • FEATURED CASE STUDIES
      • Apple
      • Big four consulting firm
      • Georgetown University’s CSET
      • Fortune 50 bank
      • Google
      • Fortune 500 telecom
      • Intel
      • Global custodian bank
      • Memorial Sloan Kettering Cancer Center
      • Global financial services leader
      • Pixability
      • Top 3 US bank
      • Schlumberger
      • Top 5 pharma
      • Stanford Medicine
      • Top US bank
      • FEATURED RESOURCE
      • snorkel-case-study-featuredSnorkel Flow success stories: the ultimate collection – Learn how Snorkel Flow is powering AI innovation for the Fortune 500 and beyond. Download now
    • See all case studies
  • Resources
      • INSIGHTS
      • Blog – Discover the latest posts from Snorkel AI experts, industry leaders, and researchers.
      • Research papers – Explore 60+ peer-reviewed papers as part of the Snorkel research project
      • Frequently asked questions – Explore our library of FAQs on scalable AI development, Snorkel Flow, and data-centric AI
      • ENGAGE
      • Events and webinars – Attend our upcoming live webinars and events to discover new ideas and make connections.
      • Hands-on workshops – Get hands-on with Snorkel Flow in an live instructor led workshop.
      • FEATURED RESOURCE
      • snorkel-resources-featuredAn intro to programmatic labeling – See how to automate data labeling and generate massive, high-quality datasets in minutes.Watch now
  • Company
      • COMPANY
      • About us – Snorkel AI is redefining how AI applications are built. Learn about our mission, team, and culture.
      • Careers – We’re bringing together some of the best minds in AI and machine learning. Join us.
      • Press and news – Read the latest news about Snorkel AI and Snorkel Flow customers
      • PARTNERS
      • Partners – We work with an innovative ecosystem of partners focused on delivering value through data-centric AI.
      • FEATURED RESOURCE
      • snorkel-company-featuredThe Future of Data-Centric AI 2023 – Watch 30+ sessions on demand and explore the next wave of AI advancement powered by data-centric AI.Watch now
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Semi-Supervised Aggregation of Dependent Weak Supervision Sources with Performance Guarantees

Snorkel Team July 18, 2021

This work shows a rigorous technique for efficiently selecting small subsets of the labelers so that a majority vote from such subsets has a provably low error rate.

Fast and Three-Rious: Speed up Weak Supervision With Triplet Methods

Snorkel Team November 20, 2020

Introducing FlyingSquid, a weak supervision framework that runs orders of magnitude faster than previous weak supervision approaches and requires fewer assumptions

Train and You’ll Miss It: Interactive Model Iteration With Weak Supervision…

Snorkel Team November 13, 2020

This paper provides a series of results studying how performance scales with changes in source coverage, source accuracy, and the Lipschitzness of label distributions in the embedding space, and compare this rate to standard weak supervision.

The Role of Massively Multi-Task and Weak Supervision in Software 2.0

Snorkel Team December 17, 2019

Outlining a vision for a Software 2.0 lifecycle centered around the idea that labeling training data can be the primary interface to Software 2.0 systems.

Snuba: Automating Weak Supervision to Label Training Data

Snorkel Team December 16, 2019

Presenting Snuba, a system to automatically generate heuristics using a small labeled dataset to assign training labels to a large, unlabeled dataset in the weak supervision setting.

Osprey: Weak Supervision of Imbalanced Extraction Problems Without Code

Snorkel Team December 12, 2019

Proposing Osprey, a weak-supervision system suited for highly imbalanced data, built on top of the Snorkel framework.

Interactive Programmatic Labeling for Weak Supervision

Snorkel Team December 8, 2019

Demonstrating in synthetic and real-world experiments how two simple labeling function acquisition strategies outperform a random baseline.

Bootstrapping Conversational Agents with Weak Supervision

Snorkel Team December 7, 2019

This paper presents a framework called search, label, and propagate (SLP) for bootstrapping intents from existing chat logs using weak supervision.

Software 2.0 and Snorkel: Beyond Hand-Labeled Data

Snorkel Team December 19, 2018

This paper describes Snorkel, a system that enables users to help shape, create, and manage training data for Software 2.0 stacks.

Socratic Learning: Augmenting Generative Models to Incorporate Latent Subsets in Training Data

Snorkel Team November 13, 2017

Introducing Socratic learning, a paradigm that uses feedback from a discriminative model to automatically identify latent data subsets in training data.

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Product

  • Snorkel Flow
  • Label
  • Model
  • Foundation models
  • Enterprise

Solutions

AI applications

  • Document classification
  • Named entity recognition
  • Information extraction
  • Conversational AI
  • Sentiment analysis

Industry use cases

  • AI for banking
  • AI for government
  • AI for healthcare
  • AI for insurance
  • AI for telecom

Technology

  • Snorkel AI Technology
  • Data-centric AI
  • Foundation models
  • Generative AI
  • Large language models
  • Programmatic labeling
  • Weak supervision
  • Snorkel research project

Case studies

  • Apple
  • Big four consulting firm
  • Fortune 50 bank
  • Fortune 500 telecom
  • Global custodian bank
  • Global financial services leader
  • Global insurance leader
  • Google
  • Intel
  • Memorial Sloan Kettering
  • Stanford Medicine
  • Tide
  • Top 5 biotech
  • Top US bank

Resources

  • Blog
  • Events
  • FAQ
  • Gartner® Hype Cycle™ for Artificial Intelligence, 2023
  • Press
  • Research papers
  • Security

Company

  • Overview
  • Careers
  • Logos and brand assets

Contact

  • Contact us
  • Request a demo

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