When More Isn’t Better in AI Training!

Can too much of a good thing be bad for AI? 🤔 Turns out, overtraining AI with excess data might actually harm its performance! Researchers from top universities, like Stanford and Harvard, say "catastrophic overtraining" could make models overly sensitive. Instead of improving, they can end up worse off due to progressive sensitivity—hitting that "inflection point" where more data does more harm than good. For AI devs, this suggests a shift: maybe less is more when it comes to pre-training. #AI #MachineLearning #TechInsights #Innovation #Tech