We wrote this not because we don't believe in using LLMs to moderate content (we do), but because we believe it's important to know the risks and challenges before you start. This guide has your back, whether you're just exploring LLMs or refining an existing system. We cover choosing models and measuring performance, addressing bias, building effective human oversight, and much more.

What if content moderation could be dramatically more efficient and precise? Learn how Large Language Models (LLMs) and the emerging practice of policy engineering are empowering organizations to achieve more effective and scalable moderation than ever before.

After years of treating content moderation like factory work, we're finally seeing a shift toward recognizing it as the specialized discipline it always should have been. This shift creates a significant opportunity, but many organizations aren't positioned to capitalize on it. Read this post and download the accompanying playbook to learn how to increase collaboration and make T&S a valued asset in any organization.

A look at how LLMs can not only moderate nuanced policy, but can also be trained to interpret content in completely different, custom ways.