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Through regularization techniques, data augmentation, loss functions, and gradient optimization, ensuring the model focuses on meaningful patterns and reduces o
by thomashop 2y ago
Through regularization techniques, data augmentation, loss functions, and gradient optimization, ensuring the model focuses on meaningful patterns and reduces overfitting to noise.
- bigfudge 2y agoIt’s not obvious how any of those would do anything but better approximate the average of a noisy dataset. RLHF might help, but only if it’s not done by idiots.