👉 Overgeneralization is a concept in artificial intelligence where a model or algorithm may generalize well to one specific task, but poorly when applied to different tasks. This can occur due to several reasons such as:
1.
Limited training data
: If the dataset used for training the model is not representative of the real-world problem it will struggle with.
2.
Overfitting
: The model becomes overly complex and loses its ability to generalize well on new, unseen data.
3.
Underfitting