T5 Description

With T5, we propose re-framing all NLP into a unified format where the input and the output are always text strings. This is in contrast to BERT models which can only output a class label, or a span from the input. Our text-totext framework allows us use the same model and loss function on any NLP task. This includes machine translation, document summary, question answering and classification tasks. We can also apply T5 to regression by training it to predict a string representation of a numeric value instead of the actual number.

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Company Details

Company:
Google
Year Founded:
1998
Headquarters:
United States
Website:
ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html

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