Latest posts
- Use your data to build your AI moat: The Future of Data-Centric AI 2023 - 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. ...
- Redesigning Snorkel’s interactive machine learning systems - To empower our enterprise customers, we redesigned the ML systems behind Snorkel Flow to make sure we were meeting customer needs. ...
- Out of distribution blindness: why to fix it and how energy can help - Sharon Li is an assistant professor at the University of Wisconsin-Madison. She presented “Detecting Data Distributional Shift: Challenges and Opportunities” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022. The talk covered a novel approach for handling out-of-distribution objects. ...
- Debugging data to build better and more fair ML applications - Dr. Ce Zhang is an associate professor in Computer Science at ETH Zürich. He presented “Building Machine Learning Systems for the Era of Data-Centric AI” at Snorkel AI’s The Future of Data-Centric AI event in 2022. ...
- Machine learning on Kubernetes: wisdom learned at Snorkel AI - Snorkel Flow handles intense machine learning workloads, and we’ve built our infrastructure on a foundation of Kubernetes—which was not designed with machine learning in mind. ...
- Harvard professor: DataPerf and AI’s need for data benchmarks - Harvard Professor Vijay Janapa Reddi's presentation: “DataPerf: Benchmarks for data” from Snorkel AI’s 2022 Future of Data-Centric AI event. ...
- AI for banking in the era of ChatGPT - Forward-looking companies in finance, including banks, have looked to technology to meet challenges and are reaping the rewards of doing so. ...
- Uniphore chooses Snorkel Flow to accelerate conversational AI - Uniphore, a conversational AI and automation leader, has chosen Snorkel’s data-centric AI platform to accelerate AI development. ...
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