Web Extraction with Large Language Models - Lessons from Parsing Billions of Webpages

Learn how Large Language Models (LLMs) are revolutionizing web scraping and data extraction in this 30-minute conference talk from the Toronto Machine Learning Series. Discover insights from Pinterest's Engineering Manager Patrick Halina as he shares practical experiences and lessons learned from parsing over 1 billion webpages daily. Explore state-of-the-art approaches to understanding webpage content and extracting valuable information, gaining a deeper understanding of how modern AI technologies are transforming traditional web scraping methods.