Detecting and Fixing ‘Dead Neurons’ in Foundation Models
NeutralArtificial Intelligence

The article discusses the issue of 'dead neurons' in neural networks, which are neurons that produce minimal output across various inputs. This problem is particularly significant in large foundation models, as it can diminish the model's overall capacity and hinder its ability to generalize effectively. Understanding and addressing dead neurons is crucial for improving the performance of these advanced models, ensuring they can learn a diverse range of features and operate at their full potential.
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