Whether it is language-to-text or text-to-language, it is just an application of the T method in a certain field.

It is not done in speech, but also in many fields such as translation and Q&A, and what tasks are just carriers.

What really matters is the Transformer approach itself, as well as the writing and theoretical derivation of this paper.

The proposal of residual networks shocked the world, and this model is still classified into three major modules

The Godfather of Reborn AI 209. How did he run into the field of speech!? I am hitting it in my hand, please wait a moment,

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