Arnold Alexander
1 min read ·
In this workshop, Rakesh and Cristian demystify the process of transforming web data extraction into an easily manageable machine learning problem using ChatGPT and guide participants in comprehending complex model development and the modern strategies involved, including transformer-based architectures.
This workshop covers the following:
Navigate the transition of web data extraction into a machine learning task.
Analyze the capabilities and limitations of ChatGPT for data extraction tasks.
Understand the evolution of complex models from simple concepts.
Explore contemporary approaches, with a focus on transformer-based architectures.
For any follow-up questions after watching the webinar, join us on Discord and engage directly with Rakesh and Cristian.
More webinars
AnnouncementA practical walkthrough of the Web Scraping Industry Report 2026, covering how AI, automation, and access controls are reshaping web data collection at scale.
2 min read
AnnouncementLearn how to prepare for modern anti-bot systems with advanced unblocking tactics.
2 min read
How ToJoin Hyder Khan | Data Engineer, @ Flipdish as he shares how to extract, clean, analyze, and visualize web data using a seamless workflow with Streamlit.
1 min read
G2.com