What, if anything, do AIs understand? (with ChatGPT Co-Creator Ilya Sutskever)
Clearer Thinking with Spencer Greenberg
Overfitting and Generalization in Large Language Models
- Large language models, despite having a massive number of parameters, can generalize well and avoid overfitting due to the properties of the training procedure (stochastic gradient descent).
- If the model could take on any value for any parameter, it would likely overfit, but the training process prefers certain parameter values, effectively constraining the model.
- This preference acts like a prior, favoring specific solutions and preventing the model from simply memorizing noise in the training data.
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