Web Data for LLMs: Challenges and Solutions

Video Description

Training large language models takes massive amounts of high-quality web data – and getting that data is no small task. In this video, we dive into the real-world challenges of *LLM web scraping* at scale, from anti-bot defenses to data cleaning and legal compliance. You’ll learn how tools like Web Unblocker, Residential Proxies, and OxyCopilot can help you build a reliable, scalable pipeline for fine-tuning your LLMs – without blowing your budget. 📚 *OTHER RESOURCES* Free Whitepaper – Acquiring High-Quality Web Data for LLM Fine-Tuning https://oxy.yt/mk4d 🔧 *OUR SCRAPING SOLUTIONS* Web Unblocker: 👉https://oxy.yt/Zk8s Web Scraper API + OxyCopilot: 👉https://oxy.yt/fk3R Residential Proxies: 👉https://oxy.yt/zk03 Shared Datacenter Proxies: 👉https://oxy.yt/uk2j Dedicated Datacenter Proxies: 👉 https://oxy.yt/ck9k 🤝 *LET'S CONNECT* https://discord.gg/6FAVVryt9W ⏳ *TIMESTAMPS* 0:00 Introduction 0:24 How much data do you need? 1:18 LLM data gathering challenges 3:55 Modern solutions and tools 9:00 Outro and resources Subscribe for more: https://oxy.yt/tk1Z © 2025 Oxylabs. All rights reserved. #webscraping #Oxylabs #proxies