Scaling Past Rule-Based Systems at the Petabyte Level
Offered By: Snorkel AI via YouTube
Course Description
Overview
Discover how weak supervision techniques can scale beyond traditional rule-based and expert-curated systems for solving core Natural Language Processing (NLP) problems on massive datasets exceeding a petabyte. This 25-minute conference talk by Snorkel AI explores innovative approaches to handling large-scale data challenges in AI and machine learning. Gain insights into cutting-edge methodologies for processing and analyzing vast amounts of textual information, and learn how these techniques can revolutionize NLP applications across various industries. Explore the potential of weak supervision in overcoming limitations of conventional systems and unlocking new possibilities in data-centric AI development.
Syllabus
Scaling Past Rule-Based Systems at the Petabyte Level
Taught by
Snorkel AI
Related Courses
Operationalizing Organizational Knowledge with Data-Centric AIOpen Data Science via YouTube Rethinking ML Development - A Data-Centric Approach
Open Data Science via YouTube Getting High-Quality Data for Your Computer Vision Models - Building Computer Vision Models
Data Science Dojo via YouTube Data-Centric AI - Technological Key of the Future
TEDx via YouTube Explainable Data-Centric AI
Alan Turing Institute via YouTube