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Explore our complete library of resources including blogs, benchmarks, research papers and more.
Image for Evaluating Coding Agent Capabilities with Terminal-Bench: Snorkel’s Role in Building the Next Generation Benchmark
Blog

Evaluating Coding Agent Capabilities with Terminal-Bench: Snorkel’s Role in Building the Next Generation Benchmark

Announcing a $3M commitment to launch Open Benchmarks Grants
September 30, 2025
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Blog

Closing the Evaluation Gap in Agentic AI

Announcing a $3M commitment to launch Open Benchmarks Grants

February 11, 2026
Image for Benchtalks #1: Alex Shaw (Terminal-Bench, Harbor) – Building the Benchmark Factory
Blog

Benchtalks #1: Alex Shaw (Terminal-Bench, Harbor) – Building the Benchmark Factory

Announcing a $3M commitment to launch Open Benchmarks Grants
March 31, 2026
Image for Building FinQA: An Open RL Environment for Financial Reasoning Agents
Blog

Building FinQA: An Open RL Environment for Financial Reasoning Agents

Announcing a $3M commitment to launch Open Benchmarks Grants
March 30, 2026
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Blog

The science of rubric design

Announcing a $3M commitment to launch Open Benchmarks Grants
September 11, 2025
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Tasks Algorithmically Given Labels Established via Transferred Symbols (TAGLETS)
We conducted research to reduce the amount of labeled data required to train machine learning systems. The pinnacle of this effort is the development of TAGLETS, a machine learning system that seamlessly integrates widely known collections of labeled data with a diverse array of machine learning algorithms, known as weak labelers. The system's evolution has been significantly influenced by comprehensive theoretical explorations into effectively aggregating these weak labelers within the system. The research's scope expands to the application of large pre-trained models in low-resource settings. The result of these efforts is Alfred, a second-generation system tailored for programmatic weak supervision...
Research Paper
Tasks Algorithmically Given Labels Established via Transferred Symbols (TAGLETS)

We conducted research to reduce the amount of labeled data required to train machine learning systems. The pinnacle of this effort is the development of TAGLETS, a machine learning system that seamlessly integrates widely known collections of labeled data with a diverse array of machine learning algorithms, known as weak labelers. The system’s evolution has been significantly influenced by comprehensive…

Sep 20, 2023

M. Littman, et al.

Learn more about Tasks Algorithmically Given Labels Established via Transferred Symbols (TAGLETS)
Former U.S. Chief Data Scientist on past and future of data science
Blog
Former U.S. Chief Data Scientist on past and future of data science

Past U.S. Chief Data Scientist DJ Patil talked with Snorkel AI CEO Alex Ratner on topics including the origin of the title “data scientist.”

Sep 12, 2023
Learn more about Former U.S. Chief Data Scientist on past and future of data science
How we matured our ML-on-Kubernetes capabilities and saved on cloud costs
Blog
How we matured our ML-on-Kubernetes capabilities and saved on cloud costs

We designed, implemented, and rolled out a multi-faceted autoscaling solution that expands our ML capabilities while saving on cloud costs.

Sep 05, 2023
Learn more about How we matured our ML-on-Kubernetes capabilities and saved on cloud costs
4 new papers show foundation models can build on themselves
Blog
4 new papers show foundation models can build on themselves

The surest way to improve foundation models is through more and better data, but Snorkel researchers showed FMs can learn from themselves.

Aug 31, 2023
Learn more about 4 new papers show foundation models can build on themselves
How GPT helped expand our marketing team’s capacity
Blog
How GPT helped expand our marketing team’s capacity

GPT-3 unlocked additional capacity by automating first drafts of internal updates—including blog summaries and sample tweets.

Aug 29, 2023
Learn more about How GPT helped expand our marketing team’s capacity
How AI saves money and improves banking complaint handling
Blog
How AI saves money and improves banking complaint handling

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

Aug 24, 2023
Learn more about How AI saves money and improves banking complaint handling
How Wayfair built better, faster catalog tagging with Snorkel Flow
Blog
How Wayfair built better, faster catalog tagging with Snorkel Flow

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…

Aug 22, 2023
Learn more about How Wayfair built better, faster catalog tagging with Snorkel Flow
Accelerating predictive task time to value with generative AI
Blog
Accelerating predictive task time to value with generative AI

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

Aug 17, 2023
Learn more about Accelerating predictive task time to value with generative AI
Generative AI essentials: what everyone needs to know about GenAI
Blog
Generative AI essentials: what everyone needs to know about GenAI

Experts named generative AI as the most transformative technology of the decade. What is genAI, how does it work and why does it matter?

Aug 16, 2023
Learn more about Generative AI essentials: what everyone needs to know about GenAI
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