👉 In the context of artificial intelligence and machine learning, a "cachexy" or "cachexic" model is a type of neural network architecture that has been shown to be more robust against overfitting than traditional feedforward networks. The term comes from the fact that its performance can vary significantly depending on the data it's trained on. In other words, these models tend to perform better with data that is sparse or small-scale, such as those found in datasets where there are
