- Augmenting the clinical trial design process with information extraction
- The future of data-centric AI talk series Background Michael DAndrea is the Principal Data Scientist at Genentech. He earned his MBA from Cornell University and a Master’s degree in Computing and Education from Columbia University. He currently works on using unstructured data sources for clinical trial analytics and his team… ... - How Google used Snorkel to build and adapt content classification models - Google used Snorkel’s technology to leverage existing knowledge resources from across the organization to reduce development time and cost by an order of magnitude. The team built content classification models with Snorkel that achieved an average performance improvement of 52%, without requiring tens of thousands of hand-labeled examples. Challenge: Agile… ...
- Q4 LTS Release of Snorkel Flow
- We’re excited to announce the Q4 2021 LTS release of Snorkel Flow, our data-centric AI development platform powered by programmatic labeling. This latest release introduces a number of new product capabilities and enhancements, from a streamlined programmatic data development interface, to enhanced auto-suggest for labeling functions, to new machine learning… ... - Making Automated Data Labeling a Reality in Modern AI
- Moving from Manual to Programmatic Labeling Labeling training data by hand is exhausting. It’s tedious, slow, and expensive—the de facto bottleneck most AI/ML teams face today 1. Eager to alleviate this pain point of AI development, machine learning practitioners have long sought ways to automate this labor-intensive labeling process (i.e.,… ... - The Principles of Data-Centric AI Development - The Future of Data-Centric AI Talk Series Background Alex Ratner is CEO and co-founder of Snorkel AI and an Assistant Professor of Computer Science at the University of Washington. He recently joined the Future of Data-Centric AI event, where he presented the principles of data-centric AI and where it’s headed.… ...
- Prompting Methods with Language Models and Their Applications to Weak Supervision - Machine Learning Whiteboard (MLW) Open-source Series Today, Ryan Smith, machine learning research engineer at Snorkel AI, talks about prompting methods with language models and some applications they have with weak supervision. In this talk, we're essentially going to be using this paper as a template—this paper is a great survey… ...
- Advancing Snorkel from research to production - The Snorkel AI founding team started the Snorkel Research Project at Stanford AI Lab in 2015, where we set out to explore a higher-level interface to machine learning through training data. This project was sponsored by Google, Intel, DARPA, and several other leading organizations and the research was represented in… ...
- Building AI Applications Collaboratively Using Data-centric AI - The Future of Data-Centric AI Talk Series Background Roshni Malani received her PhD in Software Engineering from the University of California, San Diego, and has previously worked on Siri at Apple and as a founding engineer for Google Photos. She gave a presentation at the Future of Data-Centric AI virtual… ...
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