They don’t use the generative models for this. The AI’s that do this kind of work are trained on carefully curated data and have a very narrow scope that they are good at.
That brings up a significant problem - there are widely different things that are called AI. My company’s customers are using AI for biochem and pharm research, protein folding, and other science stuff.
My company cut funding for traditional projects and has prioritized funding for AI projects. So now anything that involves any form of automation is “AI”.
I do have a tech background in addition to being a medical student and it really drives me bonkers that we’re calling these overgrown algorithms “AI”. The generative AI models I suppose are a little closer to earning the definition as they are black-box programs that develop themselves to a certain extent, but all of the reputable “AI” programs used in science and medicine are very carefully curated algorithms with specific rules and parameters that they follow.
They don’t use the generative models for this. The AI’s that do this kind of work are trained on carefully curated data and have a very narrow scope that they are good at.
That brings up a significant problem - there are widely different things that are called AI. My company’s customers are using AI for biochem and pharm research, protein folding, and other science stuff.
My company cut funding for traditional projects and has prioritized funding for AI projects. So now anything that involves any form of automation is “AI”.
I do have a tech background in addition to being a medical student and it really drives me bonkers that we’re calling these overgrown algorithms “AI”. The generative AI models I suppose are a little closer to earning the definition as they are black-box programs that develop themselves to a certain extent, but all of the reputable “AI” programs used in science and medicine are very carefully curated algorithms with specific rules and parameters that they follow.