Comment by eurekin
2 years ago
The first question I always ask myself in such cases: how much input data has a simple "I don't know" lines? This is clearly a concept (not knowing sth) that has to be learned in order to be expressed in the output.
2 years ago
The first question I always ask myself in such cases: how much input data has a simple "I don't know" lines? This is clearly a concept (not knowing sth) that has to be learned in order to be expressed in the output.
What stops you from asking the same question multiple times, and seeing if the answers are consistent. I am sure the capital of France is always going to come out Paris, but the name of a river passing a small village might be hallucinated differently. Even better - use two different models, if they agree it's probably true. And probably the best - provide the data to the model in context, if you have a good source. Don't use the model as fact knowledge base, use RAG.
Can’t speak for other people but I find it more time consuming to get ChatGPT to correct its mistakes than to do the work myself.
What type of work? I'm really only interested in coding related help :)
Ha, probably an insignificant amount. The internet is nothing if not confidently-stated positive results, no matter how wrong they might be. No wonder this is how LLMs act.