RLHF aligns AI models using human judgements. This explainer covers how it works, where it helps, and why who does the evaluation matters.
A neutral guide to the kinds of RLHF and human-evaluation providers, what separates generalist crowds from expert review, and how to choose.
The most dangerous AI failures are the ones only a domain expert can spot. A generalist crowd will rate them as fine.
If you build a high-risk AI system, your training-data supplier is part of your compliance story. Here is the checklist.
High-profile breaches showed that black-box, low-context evaluation cannot scale safely. The alternative is concentrated, transparent expertise.