New in Snorkel Flow: instant, guided feedback, active learning, and more!
Don’t miss the latest news, events, and updates in this month’s Snorkel community newsletter.
2022 is off to a strong start as we continue to make the benefits of data-centric AI more accessible to the enterprise. In this month’s note, we are excited to announce that Snorkel Flow is now generally available and share some of the latest enhancements to Snorkel Flow from our Spring 2022 release.
These include several new product capabilities and enhancements like immediate guided feedback for labeling functions, active learning coupled with programmatic labeling, enhancements to Snorkel Flow’s AutoML suite, and much more.
Read the full update »
Notable updates from the Spring 2022 release
Get instant, guided feedback for data iteration [beta]
Our revamped Studio experience brings data exploration, programmatic labeling, model training, and model analysis into a single interface.
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Pair active learning with programmatic labeling in-platform for amplified impact
With the new Studio experience, it’s even easier to view and sort by current model confidence as you develop labeling functions, making programmatic active learning a first-class workflow.
Learn more »
Let AutoML optimize your architecture without stalling your data development
AutoML is even more efficient by showing you the best-performing model found so far during the AutoML process.
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Respond seamlessly to real-world label schema updates with in-context editing
As your production data and business objectives change, you can easily modify label classes and adapt training data in response — rename existing classes, add new classes, remove classes, merge classes, and split classes — all from within Studio.
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Unlock data within PDF documents
New highlight options to visualize particular regions like lines or words, new labeling function builders with improved UX for regex patterns over rows and surrounding areas, and page splitting and page filtering preprocessors to target specific pages within PDF documents and speed processing.
Learn more »
Blog
Governing ML models with auditable training data
In this post, Jonathan Dahlberg, head of ML solution engineering shares why the key to auditable models is auditable training data and describes how labeling functions are a fundamentally more auditable and reusable type of user input than manual labels.
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Weak supervision modeling with Fred Sala
In this talk, Snorkel AI research scientist Fred Sala discusses weak supervision modeling and provides a detailed overview of how label models work with a simplified courtroom analogy. This is one machine learning whiteboard session you won’t want to miss!
Watch now»
Resilient enterprise AI application development
In this article, Arjun Prakash, director of solutions, outlines the tradeoffs between rule-based systems and machine learning models and discusses how a data-centric approach to AI application development allows enterprises to capture the best of both worlds while overcoming their shortcomings.
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Events
Join us at apply(conf)
Snorkel AI co-founder and CEO Alex Ratner will join fellow data science leaders for a live panel discussion on the common patterns of the world’s most successful ML teams at apply(conf) a free two-day event open to the entire ML community.
Register for free today»
Live Snorkel Flow Demo
Save your spot at our upcoming live Snorkel Flow demo on May 24 at 11:00 AM Pacific. During the live demo, Snorkel AI co-founder and head of technology Braden Hancock will build a text classification application based on a real-world financial services use case with a Fortune 50 bank and answer live questions.
Register now»
We’re hiring!
Snorkel AI is growing rapidly, and we’re hiring passionate problem solvers who want to shape the future of AI.
Research
ICLR 2022
We were honored to be part of the International Conference on Learning Representations (ICLR) 2022, where Snorkel AI founders and researchers presented five papers on data-centric AI topics.
Developing and integrating cutting-edge research in data-centric AI development is at the core of what we do at Snorkel. We have intentionally designed Snorkel Flow with flexible abstractions and extensible interfaces that allow us to continually bring the latest and greatest technologies from the lab to our customers.
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