Web Data for LLMs: Challenges and Solutions

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
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⏳ 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

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