This was a fun read. I’m not a AI expert by any means. I’m also ESL. Please bear with me. However the inaccuracy threshold seems fine for a museum, but in enterprise operations inaccuracy can mean lost revenue or worse lost trust and future business flow. I’m struggling with some more advanced AI use cases in my collaborative work platform. I use AI (LLMs) for things like summarizations, communication, finding inform…
> Not sure if what I said makes sense. Not sure either. But here is the lesson from this and other sources. To improve the output use multistep approach. Get the first answer, one or more, and pass it through the second verification step(s). Like 'for this * is this *' relevant? Or is it correct, does it solve the problem, etc.. Then select the answer with the best scores on the filters. You see, it's very similar to…
I have a multi-step workflow already, but it is getting slow now going through all those steps. And sometimes, if the result is wildly incorrect, it feels really bad.
Again, I'm not an expert in this field but I am trying to learn and improve my product.