by Dora Blue | Sep 4, 2025 | Proxies for AI
Getting accurate, diverse data is tough for most developers training AI and machine learning models. In many cases, scraping and collecting data from various sources on the open web runs into blocks, captchas, and geo-limits. Residential proxies are the secret...
by Dora Blue | Sep 4, 2025 | Proxies for AI
Training Large Language Models (LLMs) is like teaching a new language to a computer, but with millions of pieces of information from every corner of the web. For these models to work well, they must learn from the widest, most diverse datasets possible. This means...
by Dora Blue | Sep 4, 2025 | Proxies for AI
AI web agents are becoming more sophisticated every day, handling huge amounts of online data and automating workflows for industries ranging from ecommerce to cybersecurity. If you want your AI systems to run reliably at scale, you need to understand how proxies,...
by Dora Blue | Sep 4, 2025 | Proxies for AI
Data labeling is what trains AI to understand, organize, and improve. If those labels, or annotations, aren’t accurate or broad enough, the whole AI model could end up useless. Currently, the primary challenge for AI projects is obtaining reliable, up-to-date, and...
by Dora Blue | Sep 4, 2025 | Proxies for AI
AI agents are changing how organizations gather data, automate tasks, and interact on the web. But even the smartest bots can get flagged or blocked if they don’t act like real people. This is where proxies come in, letting AI agents blend in, collect information...
