The Bitter Lesson of Deep Learning

The bitter lesson of deep learning emphasizes prioritizing scalable learning and search methods.
It suggests avoiding human priors in the learning process, allowing models to learn efficiently.
Researchers often add clever solutions for short-term gains while enabling simpler systems is more effective long term.
The mixture of experts model exemplifies these smaller implementation changes.
The bitter lesson highlights that simple solutions often lead to greater success in deep learning.

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