2min chapter

Towards Data Science cover image

120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models

Towards Data Science

CHAPTER

When Should You Choose a Dense Versu Sparse Model?

When should you choose a dense versu spars model? Isc, a really good question. The biggest consideration is how many machines you have to train and then serve your model. Dense models will always help perform sparse models. They're just not as efficient on a per parometer basis because each imbook can have a differet number of perometers.

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