Latest posts
- Building a Successful AI Startup
- ScienceTalks with Saam Motamedi We at Snorkel AI have received many requests from data scientists and machine learning engineers who aspire to be founders, where do they start and how should they get started on their entrepreneurial journey? We genuinely believe that data scientists and machine learning engineers will build… ... - Forager: Rapid Data Exploration for Rapid Model Development
- Machine Learning Whiteboard (MLW) Open-source Series We started our machine learning whiteboard (MLW) series earlier this year as an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal and open environment to everyone interested in learning about machine… ... - Recap: The Future of Data-Centric AI Event
- Main takeaways from The Future of Data-Centric AI Event We recently hosted The Future of Data-Centric AI, where academia, research, and industry experts and practitioners came together to discuss the shift from model-centric AI development to data-centric AI and what lies ahead. This post gives you a quick overview of… ... - Building Malleable Machine Learning (ML) Systems - Defining and Building Malleable ML Systems - Machine Learning Whiteboard (MLW) Open-Source Series As you may know, earlier this year, we started our machine learning whiteboard (MLW) series, an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal… ...
- Web Virtualization — Optimizing Data-Intensive App Performance
- Frontend Development Best Practices for Working With Lots of Data From Snorkel AI Engineering As a frontend engineer, it's often easy to run into limitations when scaling large applications. At Snorkel AI, we often run into times where our users work with data that scales into the gigabytes when using… ... - Multi-Label Classification, Sequence Labeling, and More
- Snorkel Flow LTS Release Summer ‘21 By adopting Snorkel Flow, a data-centric AI development platform powered by programmatic labeling, our customers have changed how they build and deploy AI applications. We've seen our customers save tens-of-millions of dollars in manual labeling costs and person-years of time by applying weak supervision… ... - Applying Weak Supervision Research
- ScienceTalks with Paroma Varma In this episode of Science Talks, Snorkel AI's Braden Hancock chats with Paroma Varma - a co-founder of Snorkel AI and one of the first and leading contributors to the Snorkel project. We discuss Paroma's path into machine learning, her work in optimization and signal processing… ... - Sliceline: Fast, Linear-Algebra-Based Slice Finding for ML Model Debugging - Diving Into SliceLine - Machine Learning Whiteboard (MLW) Open-source Series Earlier this year, we started our machine learning whiteboard (MLW) series, an open-invite space to brainstorm ideas and discuss the latest papers, techniques, and workflows in the AI space. We emphasize an informal and open environment to everyone interested in… ...
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