How LLMs could revolutionize ad blocking

Ad blocking software has traditionally relied on filter lists. These need time consuming and regular maintenance in order to keep them up to date and effective. There have been previous attempts to update ad blocking using machine learning, but new research from AdGuard looks at the potential to use large language models (LLMs) to improve the way it works. Filter lists rely on either network rules to block specific domains, or cosmetic rules to spot certain elements in the CSS of the page. If kept up to date these techniques are effective but that updating requires considerable human effort, often… [Continue Reading]