Data Labeling

Large language models open many new opportunities for data science teams, but enterprise LLM challenges persist—and customization is key.

LLM distillation will become a more important in 2024, according to a poll of attendees at Snorkel AI’s 2023 Enterprise LLM virtual summit.

LLMs have a broad but shallow knowledge, but fall short on specialized tasks. For best performance, enterprises must fine tune their LLMs.

The Biden administration issued an executive order that creates new AI standards and challenges. AI data development can help.

The Snorkel AI team will present 18 research papers and talks at the 2023 Neural Information Processing Systems (NeurIPS) conference from December 10-16. The Snorkel papers cover a broad range of topics including fairness, semi-supervised learning, large language models (LLMs), and domain-specific models. Snorkel AI is proud of its roots in the research community and endeavors to remain at the forefront

Distillation techniques allow enterprises to access the full predictive power of large language models at a tiny fraction of their cost.

Insurance claims processing has long required a lot of tedious and expensive human labor, but artificial intelligence (AI) can help.

Snorkel Flow makes it easy to fine tune LLMs like GPT-3.5 Turbo to work better for specific domain and enterprise requirements.

Ai and ML offer new avenues for credit scoring solutions and could usher in a new era of fairness, efficiency, and risk management.

Data labeling remains a core requirement for machine learning projects—especially in the age of genAI and LLMs. Here’s a handy guide.

Regulators and compliance officers face a constantly evolving landscape of financial markets. Rule-based systems struggle where AI succeeds.

The medical industry is exploding with data. Manually labeling data for clinical trials is a challenge. Fortunately, AI can help.

Handling complaints effectively and efficiently with AI is essential to maintain customer satisfaction and protect the bank’s reputation.

The following was originally published on Wayfair’s tech blog. We have cross-posted it here, edited only to fit Snorkel’s formatting guidelines. — One of our missions at Wayfair is to help our 22 million customers find the products they are looking for. For example, when a customer searches for a “modern yellow sofa” on Wayfair, we want to show the most

Generative AI can write poems, recite common knowledge, and extract information. GenAI can also help quickly build predictive pipelines.

Recent developments in AI tools have made email surveillance for banks better than ever. See how foundation models and Snorkel Flow can help.

GenAI may be the most transformative technology of the past decade but data is where enterprises are able to realize real value from AI today.

Generative AI is at peak hype and poised to dive into the “trough of despair,” according to the 2023 Gartner® Hype Cycle™ for AI.

We used weak supervision to programmatically curate instruction tuning data for open-source LLMs to build a better GenAI.

This release eases Snorkel Flow application creation process and tightens the iteration loop. It also upgrades our security certifications.

NVIDIA’s Nyla Worker presented “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” in 2022.

Google experts Abhishek Ratna and Robert Crowe discuss practical paths to data-centricity in applied AI at The Future of Data-Centric AI ’22.

Enterprises—especially the world’s largest—are excited to use large language models, but they want to fine-tune them on proprietary data.

Peter Davio, CTO at Black Swan Data, presented “Petabyte-Level Learning” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

Databricks customers can access their data seamlessly within the Snorkel Flow platform with a few clicks with the new Databricks connector.

Peter Mattson, Google senior staff engineer and president of MLCommons.org, explained MLCommons at The Future of Data-Centric AI in 2022.

Stanford assistant professor James Zou, presents “Responsible Data-Centric AI for Healthcare and Medicine” at The Future of Data-Centric AI.

Snorkel AI has accepted the first batch of applications for its first annual virtual poster competition. But there’s still time to add yours to the mix.

Join us on June 7-8 to learn how to use your data to build your AI moat at The Future of Data-Centric AI 2023 free virtual conference.

To empower our enterprise customers, we redesigned the ML systems behind Snorkel Flow to make sure we were meeting customer needs.