Overfitting vs Underfitting: What's the Difference?

Overfitting vs Underfitting: What's the Difference? overfitting Introduction Underfitting and overfitting are two common challenges faced in machine learning Underfitting happens when a model is not good enough to overfitting Conclusions and Recommendations Overfitting is definitely a risk also in LLMs, especially in larger models However, its impact strongly

overfitting In mathematical modeling, overfitting is the production of an analysis that corresponds too closely or exactly to a particular set of data,

overfitting Title:Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data Abstract:Neural networks trained by gradient descent have Overfitting occurs when our model becomes really good at being able to classify or predict on data that was included in the training set, but is