Resource library
Explore our complete library of resources including blogs, benchmarks, research papers, and more.
Data 2.0 and the research era of AI data
Announcing Snorkel’s $350M fundraise to build the frontier lab for AI data.
Terminal-Bench 4.0: Why Continuous Benchmarks Require Continuous QA
Grok 4.5 Testing Results: How SpaceXAI’s New Model Performs on Real Professional Work
Why coding agents need better data, evals, and environments
Closing the Evaluation Gap in Agentic AI
Announcing a $3M commitment to launch Open Benchmarks Grants
Why Frontier Agents Fail Real Engineering Work: Two Terminal-Bench 3.0 Task Deep Dives
Building FinQA: An Open RL Environment for Financial Reasoning Agents
The science of rubric design
Professionals in the data science space often debate whether RAG or fine-tuning yields the better result. The answer is “both.”
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…
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.”
We designed, implemented, and rolled out a multi-faceted autoscaling solution that expands our ML capabilities while saving on cloud costs.
The surest way to improve foundation models is through more and better data, but Snorkel researchers showed FMs can learn from themselves.
GPT-3 unlocked additional capacity by automating first drafts of internal updates—including blog summaries and sample tweets.
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.
