A couple things: 1. as I understand, GPT-x are trained on generic datasets. Why would anyone expect it could just be repurposed for a domain specific task, without additional fine tuning? Same as a lot of vision models are trained on Imagenet and then fine tuned for the application, but you would never expect that imagenet weights would just automatically perform whatever specific task you had. 2. Where would this ch…
The issue is not that the bot is not able to replace a medical specialist, but making sure the bot will not answer something totally wrong in such a context. In this example, for a medical practice wanting to use a chatbot to automate apointments, you would want to be sure that it will never answer any other questions, especially sensitive ones.