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research.google
| | swethatanamala.github.io
2.7 parsecs away

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| | In this paper, authors proposed a new language representation model BERT (Bidirectional Encoder Representations from Transformers) which improves fine-tuning based approaches.
| | towardsml.wordpress.com
0.8 parsecs away

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| | Unless you have been out of touch with the Deep Learning world, chances are that you have heard about BERT - it has been the talk of the town for the last one year. At the end of 2018 researchers at Google AI Language open-sourced a new technique for Natural Language Processing (NLP) called BERT...
| | ai.googleblog.com
3.9 parsecs away

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| | [AI summary] Google Research introduces T5, a unified Text-To-Text Transfer Transformer model and the Colossal Clean Crawled Corpus dataset to achieve state-of-the-art performance across various NLP tasks.
| | vankessel.io
15.8 parsecs away

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| A blog for my thoughts. Mostly philosophy, math, and programming.