Why More Data Is More (in Artificial Intelligence)
An Exploration of Overfitting and Generalization in Neural Networks, and the Rising Importance of Quality Data
An insightful examination has been made regarding a significant issue in the field of AI: the capability of extensive neural networks to generalize remarkably, despite being heavily overparameterized. It is emphasized, as noted by Sam Altman, that the success of these models hinges on the quality and variety of the training data. By utilizing immense da…
