Change overfitting to mdbook link

book/src/AI-Models/Autoencoder/Autoencoder.md

@@ -30,7 +30,7 @@ decoder. This is used to restrict the information flow to only the important par
 usecase. In the case of a denoising autoencoder for example, the bottleneck should filter out the 
 noise.
 
-Smaller bottlenecks lower the risk of [overfitting](https://en.wikipedia.org/wiki/Overfitting) 
+Smaller bottlenecks lower the risk of [overfitting](../../Glossary.md#overfitting) 
 since it can't contain enough information relative to the input size to effectively learn 
 specific inputs.
 However the smaller the bottleneck is the larger is the risk of losing important data.