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  # Introduction
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- UL2 is a unified framework for pretraining models that are universally effective across datasets and setups. UL2 uses Mixture-of-Denoisers (MoD), apre-training objective that combines diverse pre-training paradigms together. UL2 introduces a notion of mode switching, wherein downstream fine-tuning is associated with specific pre-training schemes.
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  ![model image](https://raw.githubusercontent.com/google-research/google-research/master/ul2/figs/ul2.png)
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  # Introduction
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+ UL2 is a unified framework for pretraining models that are universally effective across datasets and setups. UL2 uses Mixture-of-Denoisers (MoD), a pre-training objective that combines diverse pre-training paradigms together. UL2 introduces a notion of mode switching, wherein downstream fine-tuning is associated with specific pre-training schemes.
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  ![model image](https://raw.githubusercontent.com/google-research/google-research/master/ul2/figs/ul2.png)
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