Workshops at this year's AI Engineer World's Fair shifted noticeably away from RAG and prompt engineering toward evals and open models. This transition highlights a broader change in our industry — an increased focus on how to measure and trust AI outputs. It's an important problem to tackle.
Source: [Dev.to](https://dev.to/dailycontext/you-dont-always-need-the-frontier-1k8o)