« BERT » : différence entre les versions

Version du 18 novembre 2021 à 11:11

en construction

Définition

Transformer-based machine learning technique for natural language processing (NLP).

Introduced by Google in 2019, BERT is a massive pre-trained deeply bidirectional encoder-based transformer model that comes in two variants. BERT-Base has 110 million parameters, and BERT-Large has 340 million parameters.

Français

BERT

Anglais

BERT

Bidirectional Encoder Representations from Transformers

Source : Wikipedia (BERT - Language model)

Source : googleblog.com

Source : kdnuggets.com

@@ Ligne 1 : / Ligne 1 : @@
 ==en construction==
+== Définition ==
+Transformer-based machine learning technique for natural language processing (NLP).
-== Définition ==
+Introduced by Google in 2019, BERT is a massive pre-trained deeply bidirectional encoder-based transformer model that comes in two variants. BERT-Base has 110 million parameters, and BERT-Large has 340 million parameters.
-XXXXXXXXX
 == Français ==
-''' BERT'''
+'''BERT'''
 == Anglais ==
-''' BERT'''
+'''BERT'''
+'''Bidirectional Encoder Representations from Transformers'''
-BERT belongs to a class of NLP-based language algorithms known as transformers. BERT is a massive pre-trained deeply bidirectional encoder-based transformer model that comes in two variants. BERT-Base has 110 million parameters, and BERT-Large has 340 million parameters.
 <small>
-[https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html  Source : googleblog]
-[https://www.kdnuggets.com/2021/11/guide-word-embedding-techniques-nlp.html Source : kdnuggets ]
+[https://en.wikipedia.org/wiki/BERT_(language_model)  Source : Wikipedia (BERT - Language model) ]
+[https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html  Source : googleblog.com ]
+[https://www.kdnuggets.com/2021/11/guide-word-embedding-techniques-nlp.html  Source : kdnuggets.com ]
 [[Catégorie:vocabulary]]