Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating Weak Supervision in Snorkel
This chapter explores the intricacies of labeling functions within the Snorkel framework, emphasizing weak supervision as a means to utilize noisier data effectively. It discusses the relationships between labeling functions and their impact on model accuracy, along with techniques for creating robust training data without ground truth labels. Additionally, the chapter outlines future advancements in Snorkel, including the introduction of Snorkel Metal for multitask learning.
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